nptel introduction to machine learning assignment 3 answers 2022

• Amazon Quiz
• Flipkart Quiz
• Play & Win 50,000 Coins
• Privacy Policy

NPTEL Introduction to Machine Learning Assignment 3 Answers 2022

• by QuizXp Team
• February 10, 2022 February 22, 2022

Are you looking for the Answers to NPTEL Introduction to Machine Learning Assignment 3 – IIT Madras? This article will help you with the answer to the  Nation al Programme on Technology Enhanced Learning  ( NPTEL )  Course “ NPTEL Introduction to Machine Learning Assignment 3 “

What is Introduction to Machine Learning?

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

CRITERIA TO GET A CERTIFICATE

Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100

Final score = Average assignment score + Exam score

YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

Below you can find the answers for NPTEL Introduction to Machine Learning Assignment 3

NPTEL Introduction to Machine Learning Assignment 3 Answers:-

Q1. consider the case where two classes follow Gaussian distribution which are centered at (6, 8) and (−6, −4) and have identity covariance matrix. Which of the following is the separating decision boundary using LDA assuming the priors to be equal?

Q2. Which of the following are differences between PCR and LDA?

Q3. Which of the following are differences between LDA and Logistic Regression?

Q4. We have two classes in our dataset. The two classes have the same mean but different variance .

???? Next Week Answers: Assignment 04 ????

Q5. We have two classes in our dataset. The two classes have the same variance but different mean .

Q6. Which of these techniques do we use to optimise Logistic Regression:

Q7. Suppose we have two variables, X and Y (the dependent variable), and we wish to find their relation. An expert tells us that relation between the two has the form Y = meX + c . Suppose the samples of the variables X and Y are available to us. Is it possible to apply linear regression to this data to estimate the values of m and c ?

Q8. What might happen to our logistic regression model if the number of features is more than the number of samples in our dataset?

Q9. Logistic regression also has an application in

Q10. Consider the following datasets:

For other courses answers:- Visit

For Internship and job updates:- Visit

Disclaimer: We do not claim 100% surety of answers, these answers are based on our sole knowledge, and by posting these answers we are just trying to help students, so we urge do your assignment on your own.

if you have any suggestions then comment below or contact us at  [email protected]

If you found this article Interesting and helpful, don’t forget to share it with your friends to get this information.

NPTEL Introduction to Machine Learning Assignment 3 Answers 2022:- All the Answers provided here to help the students as a reference, You must submit your assignment at your own knowledge.

Course Name: Introduction to Machine Learning

• About Course

Course abstract

With the increased availability of data from varied sources there has been increasing attention paid to the various data driven disciplines such as analytics and machine learning. In this course we intend to introduce some of the basic concepts of machine learning from a mathematically well motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms.

Course Instructor

Prof. Balaraman Ravindran

Teaching assistant(s),  course duration : jan-apr 2022,   view course,  syllabus,  enrollment : 14-nov-2021 to 31-jan-2022,  exam registration : 13-dec-2021 to 18-mar-2022,  exam date : 24-apr-2022.

Will be announced

Certificate Eligible

Certified category count, successfully completed, participation.

Category : Successfully Completed

Category : Elite

Category : Gold

Final score calculation logic, enrollment statistics, total enrollment: 27877, assignment statistics, score distribution graph - legend, assignment score: distribution of average scores garnered by students per assignment., exam score : distribution of the final exam score of students., final score : distribution of the combined score of assignments and final exam, based on the score logic..

Spread the word.

Share the link on social media.

Confirm Password *

Username or email *

Forgot Password

Lost your password? Please enter your email address. You will receive a link and will create a new password via email.

Sorry, you do not have permission to ask a question, You must login to ask a question.

SIKSHAPATH Latest Articles

Nptel introduction to machine learning assignment answers week 3 2022 iitkgp.

Are you looking for help in Machine Learning NPTEL Week 3 Assignment Answers? So, here in this article, we have provided Machine Learning week 3 Assignment Answer’s hint.

NPTEL Introduction to Machine Learning Assignment Answers Week 3

Q1. Suppose, you have given the following data where x and y are the 2 input variables and Class is the dependent variable.

Suppose, you want to predict the class of new data point x=1 and y=1 using euclidean distance in 3-NN. To which class the new data point belongs to?

a. + Class b. – Class c. Can’t say d. None of these

Answer: a. + Class

For instant notification of any updates, Join us on telegram .

Q2. Imagine you are dealing with a 10 class classification problem. What is the maximum number of discriminant vectors that can be produced by LDA?

Answer : c. 9

Q3. Fill in the blanks:

K-Nearest Neighbor is a ________,_______ algorithm.

a. Non-parametric, eager

b. Parametric, eager

c. Non-parametric, lazy

d. Parametric, lazy

Answer: c. Non-parametric, lazy

Q4. Which of the following statements is True about the KNN algorithm?

a. KNN algorithm does more computation on test time rather than train time.

b. KNN algorithm does lesser computation on test time rather than train time.

c. KNN algorithm does an equal amount of computation on test time and train time.

d. None of these.

Answer: a. KNN algorithm does more computation on test time rather than train time.

Q5. Which of the following necessitates feature reduction in machine learning?

a. Irrelevant and redundant features

b. Curse of dimensionality

c. Limited computational resources.

d. All of the above

Answer: d. All of the above

Q6. When there is noise in data, which of the following options would improve the performance of the KNN algorithm?

a. Increase the value of k

b. Decrease the value of k

c. Changing value of k will not change the effect of the noise

d. None of these

Answer: a. Increase the value of k

Q7. Find the value of the Pearson’s correlation coefficient of X and Y from the data in the following table.

d.  0.33

Answer: b. 0.68

Q8. Which of the following is false about PCA?

a. PCA is a supervised method

b. It identifies the directions that data have the largest variance

c. Maximum number of principal components <= number of features

d. All principal components are orthogonal to each other

Answer: a. PCA is a supervised method

Q9. In user-based collaborative filtering based recommendation, the items are recommended based on :

a. Similar users

b. Similar items

c. Both of the above

d. None of the above

Answer : a. Similar users

Q10. Identify whether the following statement is true or false? “PCA can be used for projecting and visualizing data in lower dimensions.”

Answer: a. TRUE

Disclaimer: These answers are provided only for the purpose to help students to take references. This website does not claim any surety of 100% correct answers. So, this website urges you to complete your assignment yourself.

Also Available:

NPTEL Introduction to Machine Learning Assignment Answers Week 2

NPTEL Introduction to Machine Learning Assignment Answers Week 4

Related Posts

NPTEL Cloud Computing Assignment 3 Answers 2023

NPTEL Problem Solving Through Programming In C Week 1 & ...

NPTEL Programming In Java Week 6 Assignment Answers 2023

Ads Blocker Detected!!!

We have detected that you are using extensions to block ads. Please support us by disabling these ads blocker.

• Review Assignment
• Announcements
• About the Course
• Explore Courses

NPTEL: Exam Registration is open now for Jan 2023 courses!

Dear Candidate, Here is a golden opportunity for those who had previously enrolled in this course, but could not participate in the exams or were absent/did not pass the exam for this course. This course is being reoffered in Jan 2023 and we are giving you another chance to write the exam in April 2023 and obtain a certificate based on NPTEL norms. Do not let go of this unique opportunity to earn a certificate from the IITs/IISc.   IMPORTANT instructions for learners - Please read this carefully     1. The exam date for this course: April 30,2023 2. CLICK HERE to register for the exam. Please fill the exam form using the same Enrolled email id & make fee payment via the form, as before. 3.Choose from the Cities where the exam will be conducted:  Exam Cities 4. You DO NOT have to re-enroll in the courses if you have enough assignment scores in the previous immediate semester when the course was run to obtain a certificate.  5. You DO NOT have to resubmit Assignments in the previous semester if you have enough assignment scores in the previous immediate semester when the course was run to obtain a certificate.  6. If you do enroll to Jan 2023 course, we will take the best average assignment scores across this  semester & the immediate previous semester when the course was run.     NOTE:   Please check once if you have >= 40/100  in average assignment score that were conducted in this course to become eligible for the e-certificate, wherever applicable. If not, please submit assignments again in the Jan 2023 course to become eligible for the e-certificate. We will not be having new assignments in the previous semester's course. It is mandatory to enroll again in the Jan 2023 semester if you want to receive the fresh assignments of this current Jan 2023 semester. You can also submit assignments again if you want to take fresh assignments or need to improve your previous scores.   RECOMMENDATION: If you want to take new assignments or brush up on your lessons for the exam, please enroll in the Jan 2023 course.   LINK to enroll in the current course:    https://onlinecourses.nptel.ac.in/noc23_cs18/preview   4. Exam fees:    If you register for the exam and pay before Mar 17, 2023, 5:00 PM, Exam fees will be Rs. 1000/- per exam.   5. 50% fee waiver for the following categories:    Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate.   Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate.      6. Last date for exam registration: Mar 17, 2023, 5:00 PM (Friday).     7. Mode of payment: Online payment - debit card/credit card/net banking/UPI.    8. HALL TICKET:     The hall ticket will be available for download tentatively by 2 weeks prior to the exam date . We will confirm the same through an announcement once it is published.    9. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately till the date when the exam form closes. Same day of exam you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions if you are registering for the exam with the same email ID.     10. Data changes:    Last date for data changes: Mar 17, 2023, 5:00 PM:    All the fields in the Exam form except for the following ones can be changed until the form closes.    The following 6 fields can be changed ONLY when there are NO courses in the course cart. And you will be able to edit the following fields only if you: -    REMOVE unpaid courses from the cart And/or - CANCEL paid courses    1. Do you come under the SC/ST category? *  2. SC/ST Proof  3. Are you a person with disabilities? *  4. Are you a person with disabilities above 40%?  5. Disabilities Proof  6. What is your role ?    Note: Once you remove or cancel a course, you will be able to edit these fields immediately.  But, for cancelled courses, refund of fees will be initiated only after 2 weeks.    11. LAST DATE FOR CANCELLING EXAMS and getting a refund: Mar 17, 2023, 5:00 PM     12. Click here to view Timeline and Guideline : Guideline   Domain Certification Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job ready or specialising in an area of study.     Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain: https://nptel.ac.in/domains   Outside India Candidates Candidates who are residing outside India may also fill the exam form and pay the fees. Mode of exam and other details will be communicated to you separately.   Thanks & Regards,  NPTEL TEAM

Thank you for learning with NPTEL!!

Dear Learner, Thank you for taking the course with NPTEL!! Hope you enjoyed the journey with us. The results for this course have been published and we are closing this course now.  You will still have access to the contents and assignments of this course, if you click on the course name from the " Mycourses " tab on swayam.gov.in. For any further queries please write to [email protected] . - Team NPTEL

Introduction to Machine Learning : Result Published!!

Dear Candidate, The exam scores and E Certificates have been released for October 2022 Exam(s). Step 1 - Are the results of my courses released? Please check the Results published courses list in the below links.:- October 2022 Exam - Click here Step 2 - How to check Results? Please login to internalapp.nptel.ac.in/ . and check your exam results. Use the same login credentials as used to register to the exam. What's next? Please read the pass criteria carefully and check against what you have gotten. If you still have any issues, please report the same here. internalapp.nptel.ac.in/ . We will reply within a week. Last date to report queries: 3 days within publishing of scores. Note : Hard copies of certificates will not be dispatched. The duration shown in the certificate will be based on the timeline of offering of the course in 2022, irrespective of which Assignment score that will be considered. Thanks and Best wishes. NPTEL Team

Introduction to Machine Learning : Final Feedback Form!!

Dear student, We are glad that you have attended the NPTEL online certification course. We hope you found the NPTEL Online course useful and have started using NPTEL extensively. In this regard, we would like to have feedback from you regarding our course and whether there are any improvements, you would like to suggest.   We are enclosing an online feedback form and would request you to spare some of your valuable time to input your observations. Your esteemed input will help us in serving you better. The link to give your feedback is: https://docs.google.com/forms/d/1kk_7r6xggVJ13gmU5keRHAMxE9GBlH7IpVtLV8kLXCk/viewform We thank you for your valuable time and feedback. Thanks & Regards, -NPTEL Team

October 2022 NPTEL Exams - Hall Tickets Released!

***THIS IS APPLICABLE ONLY FOR EXAM REGISTERED CANDIDATES*** Dear Candidate, Your Hall Ticket / admit card for the NPTEL Exam(s) in October, 2022 has been released. Please login to https://internalapp.nptel.ac.in/ using your exam registered email id and download your hall ticket. Note:  Requests for changes in exam city, exam center, exam date, session, or course will NOT be entertained. Please write to [email protected] for any further queries. All the best for your exams! Warm Regards NPTEL Team

Introduction to Machine Learning - Assignment 12 Solutions Released!!

Dear Learners, The Solutions of Week 12   for the course " Introduction to Machine Learning" have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=122&lesson=127 Happy Learning! Thanks & Regards, NPTEL Team

Introduction to Machine Learning : Problem solving Session Reminder!!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: October 18, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: October 18, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: October 15, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: October 15, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning - Assignment 10 and 11 Solutions Released!!

Dear Learners, The Solutions of Week 10 and Week 11   for the course " Introduction to Machine Learning " have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 10 Solution Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=108&lesson=115 Assignment 11 Solution Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=116&lesson=121 Happy Learning! Thanks & Regards, NPTEL Team

Exam Format - Oct 29, 2022

Dear Candidate, ****This is applicable only for the exam registered candidates**** Type of exam will be available in the list: Click Here You will have to appear at the allotted exam center and produce your Hall ticket and Government Photo Identification Card (Example: Driving License, Passport, PAN card, Voter ID, Aadhaar-ID with your Name, date of birth, photograph and signature) for verification and take the exam in person.  You can find the final allotted exam center details in the hall ticket. The hall ticket is yet to be released.  We will notify the same through email and SMS. Type of exam: Computer based exam (Please check in the above list corresponding to your course name) The questions will be on the computer and the answers will have to be entered on the computer; type of questions may include multiple choice questions, fill in the blanks, essay-type answers, etc. Type of exam: Paper and pen Exam  (Please check in the above list corresponding to your course name) The questions will be on the computer. You will have to write your answers on sheets of paper and submit the answer sheets. Papers will be sent to the faculty for evaluation. On-Screen Calculator Demo Link: Kindly use the below link to get an idea of how the On-screen calculator will work during the exam. https://tcsion.com/ OnlineAssessment/ ScientificCalculator/ Calculator.html NOTE: Physical calculators are not allowed inside the exam hall. -NPTEL Team

Introduction to Machine Learning : Week 12 Feedback Form is live now !!

Dear Learner Thank you for continuing with the course and hope you are enjoying it. We would like to know if the expectations with which you joined this course are being met and hence please do take 2 minutes to fill out our weekly feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form: https://docs.google.com/forms/d/11GWqQ4vAjllEU2XkMjZqg3xnEGTk_ssnvpnK8ms_9fU/viewform Thank you. -NPTEL team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: October 11, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: October 11, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 12 content is live now !!

Dear Learners, The lecture videos for Week 12 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=122&lesson=123 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-12 for Week 12 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=122&assessment=145 Assignment-12 for Week 12  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=122&assessment=176 The assignment has to be submitted on or before Wednesday,[19/10/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: October 08, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: October 08, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 11 Feedback Form is live now !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: October 04, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: October 04, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: October 01, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: October 01, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 11 content is live now !!

Dear Learners, The lecture videos for Week 11 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=116&lesson=117 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-11 for Week 11 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=116&assessment=144 Assignment-11 for Week 11 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=116&assessment=175 The assignment has to be submitted on or before Wednesday,[12/10/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning - Assignment 7 to 9 Solutions Released!!

Dear Learners, The Solutions of Week 7 to Week 9   for the course " Introduction to Machine Learning " have been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum. Assignment 7 Solution Link:   https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=82&lesson=91 Assignment 8 Solution Link:   https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=92&lesson=99 Assignment 9 Solution Link:   https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=100&lesson=106 Happy Learning! Thanks & Regards, NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: September 27, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 27, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 10 Feedback Form is live now !!

Introduction to machine learning : week 10 content is live now .

Dear Learners, The lecture videos for Week 10  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=108&lesson=109 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-10 for Week 10 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=108&assessment=143 Assignment-10 for Week 10  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=108&assessment=174 The assignment has to be submitted on or before Wednesday,[05/10/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: September 24, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: September 24, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: September 20, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 20, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 9 Feedback Form is live now !!

Introduction to machine learning : week 9 content is live now .

Dear Learners, The lecture videos for Week 9  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=100&lesson=101 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-9 for Week 9 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=100&assessment=142 Assignment-9 for Week 9  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=100&assessment=173 The assignment has to be submitted on or before Wednesday,[28/09/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 18, 2022 - Sunday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: September 17, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: September 13, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 13, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 8 Feedback Form is live now !!

Survey on problem solving sessions - introduction to machine learning( noc22-cs73 ).

Dear Learners, We would like to know if the expectations with which you attended this problem solving session are being met and hence please do take 2 minutes to fill out our feedback form. It would help us tremendously in gauging the learner experience. Here is the link to the form: https://docs.google.com/forms/d/1IQBEYiNLB9LV8ch7KbSWTiZ3-EyXu3zAEwM1YuYY7aw/viewform - NPTEL Team

Introduction to Machine Learning : Week 8 content is live now !!

Dear Learners, The lecture videos for Week 8  have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=92&lesson=93 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-8 for Week 8 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=92&assessment=141 Assignment-8 for Week 8  is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=92&assessment=172 The assignment has to be submitted on or before Wednesday,[21/09/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: September 10, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: September 10, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning - Assignment 6 Solutions Released!!

Dear Learners, The Solutions of Week 6   for the course " Introduction to Machine Learning6Solution Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=70&lesson=81 Happy Learning! Thanks & Regards, NPTEL Team

Introduction to Machine Learning : Week 7 Feedback Form is live now !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: September 06, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: September 06, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 7 content is live now !!

Dear Learners, The lecture videos for Week 7 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=82&lesson=83 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-7 for Week 7 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=82&assessment=140 Assignment-7 for Week 7  is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=82&assessment=169 The assignment has to be submitted on or before Wednesday,[14/09/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: September 03, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: September 03, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 6 content is live now !!

Dear Learners, The lecture videos for Week 6 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=70&lesson=71 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-6 for Week 6 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=70&assessment=139 Assignment-6 for Week 6 is also released and can be accessed from the following link Link: https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=70&assessment=168 The assignment has to be submitted on or before Wednesday,[07/09/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Week 6 Feedback Form is live now !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: August 30, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 30, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: August 27, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: August 27, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: August 23, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 23, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 5 Feedback Form is live now !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: August 20, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: August 20, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 5 content is live now !!

Dear Learners, The lecture videos for Week 5 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=60&lesson=61 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-5 for Week 5 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=60&assessment=138 Assignment-5 for Week 5 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=60&assessment=167 The assignment has to be submitted on or before Wednesday,[31/08/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Week 4 Feedback Form is live now !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: August 16, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 16, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 13, 2022-Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 13, 2022-Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 4 Assignment Correction!

Dear Learners, Find the following updates in questions for the Week 4 assignment: For Q6,7: Kindly download the modified version of Iris dataset from this link. Available at: ( https://goo.gl/vchhsd ) The dataset contains 150 points, and each input point has 4 features and belongs to one among three classes. Use the first 100 points as the training data and the remaining 50 as test data. In the following questions, to report accuracy, use the test dataset. You can round off the accuracy value to the nearest 2-decimal point number. ( Note: Do not change the order of data points.) Note: If you have already submitted the assignment then please recheck the assignment and submit the answers again. -NPTEL Team.

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: August 13, 2022 - Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Session 2: Date: August 13, 2022 - Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 4 content is live now !!

Dear Learners, The lecture videos for Week 4 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=51&lesson=52 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-4 for Week 4 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=51&assessment=146 Assignment-4 for Week 4 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=51&assessment=166 The assignment has to be submitted on or before Wednesday,[24/08/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Week 3 Feedback Form is live now !!

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Session 1: Date: August 9, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Session 2: Date: August 9, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Introduction to Machine Learning: Reminder for Assignment 1 & 2 deadline!!

Dear Learners, The Deadline for Assignments 1 & 2 will close on Wednesday,[10/08/2022], 23:59 IST. Kindly submit the assignments before the deadline. Thanks and Regards, -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 6, 2022-Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 6, 2022-Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Happy Learning. -NPTEL Team

Introduction to Machine Learning : Week 3 content is live now !!

Dear Learners, The lecture videos for Week 3 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=42&lesson=43 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-3 for Week 3 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=42&assessment=147 Assignment-3 for Week 3 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=42&assessment=165 The assignment has to be submitted on or before Wednesday,[17/08/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Week 2 Feedback Form is live now !!

Introduction to machine learning : problem solving session.

Dear Learner, We have uploaded the Recorded videos of the Problem Solving Session of Week 1 . Videos are uploaded inside the Separate Unit called " Problem Solving Session " along with the slides used wherever applicable. Login to the course on swayam.gov.in to check the same. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 2, 2022 - Tuesday Time: 06.00 PM - 07.00 PM Link to join:  https://meet.google.com/ngh-yrit-xhj Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: August 2, 2022 - Tuesday Time: 07.00 PM - 08.00 PM Link to join:  https://meet.google.com/mjx-bxaa-etw Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: July 30, 2022-Saturday Time: 03.00 PM - 04.00 PM Link to join:  meet.google.com/axm-qobw-xfs Happy Learning. -NPTEL Team

Dear learners, There will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Date: July 30, 2022-Saturday Time: 04.00 PM - 05.00 PM Link to join:  meet.google.com/cqc-exiz-ehy Happy Learning. -NPTEL Team

Introduction to Machine Learning : Problem solving Session

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that  will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Start Date:   July 30, 2022 When: EverySaturday Time: 03.00 PM - 04.00 PM Link to join:   meet.google.com/axm-qobw-xfs Thank you. -NPTEL team

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that  will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Start Date:   August 2, 2022 When: EveryTuesday Time: 06.00 PM - 07.00 PM Link to join:   https://meet.google.com/ngh-yrit-xhj Thank you. -NPTEL team

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that  will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Start Date:   August 2, 2022 When: EveryTuesday Time: 07.00 PM - 08.00 PM Link to join:   https://meet.google.com/mjx-bxaa-etw Thank you. -NPTEL team

Dear learner, Every week there will be a live interactive session where a Course team member will explain some sample problems, how they are solved - that  will help you solve the weekly assignments. We invite you to join the session and get your doubts cleared and learn better. Start Date:   July 30, 2022 When: EverySaturday Time: 04.00 PM - 05.00 PM Link to join:   meet.google.com/cqc-exiz-ehy Thank you. -NPTEL team

Introduction to Machine Learning : Week 1 Feedback Form

Introduction to machine learning : week 1 content is live now .

Dear Learners, The lecture videos for Week 1 have been uploaded for the course " Introduction to Machine Learning ". The lectures can be accessed using the following link:   Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=22&lesson=23 The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already). Practice Assignment-1 for Week 1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=22&assessment=136 Assignment-1 for Week 1 is also released and can be accessed from the following link Link:  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=22&assessment=160 The assignment has to be submitted on or before Wednesday,[10/08/2022], 23:59 IST. As we have done so far, please use the discussion forums if you have any questions on this module. Note : Please check the due date of the assignments in the announcement and assignment page if you see any mismatch write to us immediately. Thanks and Regards, -NPTEL Team

Introduction to Machine Learning : Assignment 0 is live now!!

Dear Learners, We welcome you all to the course " Introduction to Machine Learning " . The assignment 0 has been released. This assignment is based on a prerequisite of the course. You can find the assignment in the link :  https://onlinecourses.nptel.ac.in/noc22_cs73/unit?unit=16&assessment=135 Please note that this assignment is only for practice and it will not be graded. Thanks & Regards   -NPTEL Team

Introduction to Machine Learning - Week-1 video is live now !!

Dear Learners,   The lecture videos for Week 1 have been uploaded for the course Introduction to Machine Learning . The lectures can be accessed using the following link:   Link:   https://onlinecourses.nptel.ac.in/noc22_ee121/unit?unit=16&lesson=45   The other lectures in this week are accessible from the navigation bar to the left. Please remember to login into the website to view contents (if you aren't logged in already).   Assignment will be released shortly.   As we have done so far, please use the discussion forums if you have any questions on this module.   Thanks and Regards,   -NPTEL Team

NPTEL: Exam Registration is open now for July 2022 courses!

Dear Learner, 

Here is the much-awaited announcement on registering for the July 2022 NPTEL course certification exam. 

1. The registration for the certification exam is open only to those learners who have enrolled in the course. 

2. If you want to register for the exam for this course, login here using the same email id which you had used to enroll to the course in Swayam portal. Please note that Assignments submitted through the exam registered email id ALONE will be taken into consideration towards final consolidated score & certification. 

3 . Date of exam: Oct 29, 2022

CLICK HERE to register for the exam. 

Choose from the Cities where exam will be conducted: Exam Cities

4. Exam fees: 

If you register for the exam and pay before Sep 12, 2022, 10:00 AM, Exam fees will be Rs. 1000/- per exam . 

If you register for exam before Sep 12, 2022, 10:00 AM and have not paid or if you register between Sep 12, 2022, 10:00 AM & Sep 16, 2022, 10:00 AM, Exam fees will be Rs. 1500/- per exam 

5. 50% fee waiver for the following categories: 

Students belonging to the SC/ST category: please select Yes for the SC/ST option and upload the correct Community certificate.

Students belonging to the PwD category with more than 40% disability: please select Yes for the option and upload the relevant Disability certificate. 

6. Last date for exam registration: Sep 16, 2022, 10:00 AM (Friday). 

7. Mode of payment: Online payment - debit card/credit card/net banking/UPI. 

8. HALL TICKET: 

The hall ticket will be available for download tentatively by 2 weeks prior to the exam date . We will confirm the same through an announcement once it is published. 

9. FOR CANDIDATES WHO WOULD LIKE TO WRITE MORE THAN 1 COURSE EXAM:- you can add or delete courses and pay separately – till the date when the exam form closes. Same day of exam – you can write exams for 2 courses in the 2 sessions. Same exam center will be allocated for both the sessions. 

10. Data changes: 

Last date for data changes: Sep 16, 2022, 10:00 AM :  

All the fields in the Exam form except for the following ones can be changed until the form closes. 

The following 6 fields can be changed ONLY when there are NO courses in the course cart. And you will be able to edit the following fields only if you: - 

REMOVE unpaid courses from the cart And/or - CANCEL paid courses 

1. Do you come under the SC/ST category? * 

2. SC/ST Proof 

3. Are you a person with disabilities? * 

4. Are you a person with disabilities above 40%? 

5. Disabilities Proof 

6. What is your role ? 

Note: Once you remove or cancel a course, you will be able to edit these fields immediately. 

But, for cancelled courses, refund of fees will be initiated only after 2 weeks. 

11. LAST DATE FOR CANCELLING EXAMS and getting a refund: Sep 16, 2022, 10:00 AM  

12. Click here to view Timeline and Guideline : Guideline

Domain Certification

Domain Certification helps learners to gain expertise in a specific Area/Domain. This can be helpful for learners who wish to work in a particular area as part of their job or research or for those appearing for some competitive exam or becoming job ready or specialising in an area of study.  

Every domain will comprise Core courses and Elective courses. Once a learner completes the requisite courses per the mentioned criteria, you will receive a Domain Certificate showcasing your scores and the domain of expertise. Kindly refer to the following link for the list of courses available under each domain:  https://nptel.ac.in/domains

Outside India Candidates

Candidates who are residing outside India may also fill the exam form and pay the fees. Mode of exam and other details will be communicated to you separately.

Thanks & Regards, 

Introduction to Machine Learning: Welcome to NPTEL Online Course - July 2022!!

• Every week, about 2.5 to 4 hours of videos containing content by the Course instructor will be released along with an assignment based on this. Please watch the lectures, follow the course regularly and submit all assessments and assignments before the due date. Your regular participation is vital for learning and doing well in the course. This will be done week on week through the duration of the course.
• Please do the assignments yourself and even if you take help, kindly try to learn from it. These assignments will help you prepare for the final exams. Plagiarism and violating the Honor Code will be taken very seriously if detected during the submission of assignments.
• The announcement group - will only have messages from course instructors and teaching assistants - regarding the lessons, assignments, exam registration, hall tickets, etc.
• The discussion forum (Ask a question tab on the portal) - is for everyone to ask questions and interact. Anyone who knows the answers can reply to anyone's post and the course instructor/TA will also respond to your queries.
• Please make maximum use of this feature as this will help you learn much better.
• If you have any questions regarding the exam, registration, hall tickets, results, queries related to the technical content in the lectures, any doubts in the assignments, etc can be posted in the forum section
• The course is free to enroll and learn from. But if you want a certificate, you have to register and write the proctored exam conducted by us in person at any of the designated exam centres.
• The exam is optional for a fee of Rs 1000/- (Rupees one thousand only).
• Date and Time of Exams: October 29, 2022 Morning session 9am to 12 noon; Afternoon Session 2 pm to 5 pm.
• Registration URL: Announcements will be made when the registration form is open for registrations.
• The online registration form has to be filled and the certification exam fee needs to be paid. More details will be made available when the exam registration form is published. If there are any changes, it will be mentioned then.
• Please check the form for more details on the cities where the exams will be held, the conditions you agree to when you fill the form etc.
• Once again, thanks for your interest in our online courses and certification. Happy learning.

A project of

In association with

• Yekaterinburg
• Novosibirsk
• Vladivostok

• Tours to Russia
• Practicalities
• Russia in Lists

Rusmania • Deep into Russia

Out of the Centre

Savvino-storozhevsky monastery and museum.

Zvenigorod's most famous sight is the Savvino-Storozhevsky Monastery, which was founded in 1398 by the monk Savva from the Troitse-Sergieva Lavra, at the invitation and with the support of Prince Yury Dmitrievich of Zvenigorod. Savva was later canonised as St Sabbas (Savva) of Storozhev. The monastery late flourished under the reign of Tsar Alexis, who chose the monastery as his family church and often went on pilgrimage there and made lots of donations to it. Most of the monastery’s buildings date from this time. The monastery is heavily fortified with thick walls and six towers, the most impressive of which is the Krasny Tower which also serves as the eastern entrance. The monastery was closed in 1918 and only reopened in 1995. In 1998 Patriarch Alexius II took part in a service to return the relics of St Sabbas to the monastery. Today the monastery has the status of a stauropegic monastery, which is second in status to a lavra. In addition to being a working monastery, it also holds the Zvenigorod Historical, Architectural and Art Museum.

Belfry and Neighbouring Churches

Located near the main entrance is the monastery's belfry which is perhaps the calling card of the monastery due to its uniqueness. It was built in the 1650s and the St Sergius of Radonezh’s Church was opened on the middle tier in the mid-17th century, although it was originally dedicated to the Trinity. The belfry's 35-tonne Great Bladgovestny Bell fell in 1941 and was only restored and returned in 2003. Attached to the belfry is a large refectory and the Transfiguration Church, both of which were built on the orders of Tsar Alexis in the 1650s.  

To the left of the belfry is another, smaller, refectory which is attached to the Trinity Gate-Church, which was also constructed in the 1650s on the orders of Tsar Alexis who made it his own family church. The church is elaborately decorated with colourful trims and underneath the archway is a beautiful 19th century fresco.

Nativity of Virgin Mary Cathedral

The Nativity of Virgin Mary Cathedral is the oldest building in the monastery and among the oldest buildings in the Moscow Region. It was built between 1404 and 1405 during the lifetime of St Sabbas and using the funds of Prince Yury of Zvenigorod. The white-stone cathedral is a standard four-pillar design with a single golden dome. After the death of St Sabbas he was interred in the cathedral and a new altar dedicated to him was added.

Under the reign of Tsar Alexis the cathedral was decorated with frescoes by Stepan Ryazanets, some of which remain today. Tsar Alexis also presented the cathedral with a five-tier iconostasis, the top row of icons have been preserved.

Tsaritsa's Chambers

The Nativity of Virgin Mary Cathedral is located between the Tsaritsa's Chambers of the left and the Palace of Tsar Alexis on the right. The Tsaritsa's Chambers were built in the mid-17th century for the wife of Tsar Alexey - Tsaritsa Maria Ilinichna Miloskavskaya. The design of the building is influenced by the ancient Russian architectural style. Is prettier than the Tsar's chambers opposite, being red in colour with elaborately decorated window frames and entrance.

At present the Tsaritsa's Chambers houses the Zvenigorod Historical, Architectural and Art Museum. Among its displays is an accurate recreation of the interior of a noble lady's chambers including furniture, decorations and a decorated tiled oven, and an exhibition on the history of Zvenigorod and the monastery.

Palace of Tsar Alexis

The Palace of Tsar Alexis was built in the 1650s and is now one of the best surviving examples of non-religious architecture of that era. It was built especially for Tsar Alexis who often visited the monastery on religious pilgrimages. Its most striking feature is its pretty row of nine chimney spouts which resemble towers.

Plan your next trip to Russia

Ready-to-book tours.

Your holiday in Russia starts here. Choose and book your tour to Russia.

REQUEST A CUSTOMISED TRIP

Looking for something unique? Create the trip of your dreams with the help of our experts.

635th Anti-Aircraft Missile Regiment

635-й зенитно-ракетный полк

Military Unit: 86646

Activated 1953 in Stepanshchino, Moscow Oblast - initially as the 1945th Anti-Aircraft Artillery Regiment for Special Use and from 1955 as the 635th Anti-Aircraft Missile Regiment for Special Use.

1953 to 1984 equipped with 60 S-25 (SA-1) launchers:

• Launch area: 55 15 43N, 38 32 13E (US designation: Moscow SAM site E14-1)
• Support area: 55 16 50N, 38 32 28E
• Guidance area: 55 16 31N, 38 30 38E

1984 converted to the S-300PT (SA-10) with three independent battalions:

• 1st independent Anti-Aircraft Missile Battalion (Bessonovo, Moscow Oblast) - 55 09 34N, 38 22 26E
• 2nd independent Anti-Aircraft Missile Battalion and HQ (Stepanshchino, Moscow Oblast) - 55 15 31N, 38 32 23E
• 3rd independent Anti-Aircraft Missile Battalion (Shcherbovo, Moscow Oblast) - 55 22 32N, 38 43 33E

Disbanded 1.5.98.

Subordination:

• 1st Special Air Defence Corps , 1953 - 1.6.88
• 86th Air Defence Division , 1.6.88 - 1.10.94
• 86th Air Defence Brigade , 1.10.94 - 1.10.95
• 86th Air Defence Division , 1.10.95 - 1.5.98

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023

NPTEL Introduction to Machine Learning Assignment 4 Answers 2023:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 4 You must submit your assignment to your own knowledge.

What is Introduction to Machine Learning?

With the increased availability of data from varied sources, there has been increasing attention paid to the various data-driven disciplines such as analytics and machine learning. In this course, we intend to introduce some of the basic concepts of machine learning from a mathematically well-motivated perspective. We will cover the different learning paradigms and some of the more popular algorithms and architectures used in each of these paradigms. CRITERIA TO GET A CERTIFICATE Average assignment score = 25% of the average of best 8 assignments out of the total 12 assignments given in the course. Exam score = 75% of the proctored certification exam score out of 100 Final score = Average assignment score + Exam score YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF THE AVERAGE ASSIGNMENT SCORE >=10/25 AND EXAM SCORE >= 30/75. If one of the 2 criteria is not met, you will not get the certificate even if the Final score >= 40/100.

NPTEL Introduction To Machine Learning Week 4 Assignment Answer 2023

Q2. Which of the following loss functions are convex? (Multiple options may be correct)

• 0-1 loss (sometimes referred as mis-classification loss)
• Logistic lo s s
• Squared error loss

Q3. Which of the following are valid kernel functions?

• (1+ < x, x’ >) d
• tanℎ(K 1 <x,x’>+K2)
• exp(−γ||x−x’| | 2)

State true or false: Th e dataset becomes linearly separable after using basis expansion with the following basis function ϕ(x)=[1x 3 ]

Q5. State True or False: SVM cannot classify data that is not linearly separable even if we transform it to a higherdimensional space.

Q6. State True or False: The decision boundary obtained using the perceptron algorithm does not depend on the init i al values of the weights.

Q7. Consider a linear SVM trained with n labeled points in R 2 without slack penalties and resulting in k=2 support vectors, where n>100. By removing one labeled training point and retraining the SVM classifier, what is the max i mum possible number of support vectors in the resulting solution?

Q8. Consider an SVM with a second order polynomial kerne l. Kernel 1 maps each input data point x to K 1 (x)=[x x 2 ]. Kernel 2 maps each input data point x to K 2 (x)=[3x 3×2]. Assume the hyper-parameters are fixed. Which of the following option is true?

• The margin obtained using K 2 (x) will be larger than the margin obtained using K 1 (x).
• The margin obtained using K 2 (x) will be smaller than the margin obtained using K 1 (x).
• The margin obtained using K 2 (x) will be the same as the margin obtained using K 1 (x).

NPTEL Introduction to Machine Learning Assignment 4 Answers July 2022

1. Consider the 1-dimensional dataset: State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function ϕ(x)=[1×3]ϕ(x)=[1×3]

2. Consider a linear SVM trained with nn labeled points in R2R2 without slack penalties and resulting in k=2k=2 support vectors, where n>100n>100. By removing one labeled training point and retraining the SVM classifier, what is the maximum possible number of support vectors in the resulting solution? a. 1 b. 2 c. 3 d. n − 1 e. n

Answers will be Uploaded Shortly and it will be Notified on Telegram, So  JOIN NOW

3. Which of the following are valid kernel functions? a. (1+<x,x’>)d(1+<x,x′>)d b. tanh(K1<x,x’>+K2) c. exp(−γ||x−x’||2)

4. Consider the following dataset:

Which of these is not a support vector when using a Support Vector Classifier with a polynomial kernel with degree =3,C=1,=3,C=1, and gamma =0.1?=0.1? (We recommend using sklearn to solve this question.) a. 3 b.1 c. 9 d. 10

5. Consider an SVM with a second order polynomial kernel. Kernel 1 maps each input data point xx to K1(x)=[x x2]. Kernel 2 maps each input data point xx to K2(x)=[3x 3×2]K2(x). Assume the hyper-parameters are fixed. Which of the following option is true? a. The margin obtained using K2(x)K2(x) will be larger than the margin obtained using K1(x)K1(x). b. The margin obtained using K2(x)K2(x) will be smaller than the margin obtained using K1(x)K1(x). c. The margin obtained using K2(x)K2(x) will be the same as the margin obtained using K1(x)K1(x).

6. Train a Linear perceptron classifier on the modified iris dataset. Report the best classification accuracy for l1 and elasticnet penalty terms.

(We recommend using sklearn.) a. 0.82, 0.64 b. 0.90, 0.71 c. 0.84, 0.82 d. 0.78, 0.64

👇 For Week 05 Assignment Answers 👇

7. Train an SVM classifier on the modified iris dataset. We encourage you to explore the impact of varying different hyperparameters of the model. Specifically, try different kernels and the associated hyperparameters. As part of the assignment, train models with the following set of hyperparameters poly, gamma=0.4gamma=0.4, one-vs-rest classifier, no-feature-normalization. a. 0.98 b. 0.96 c. 0.92 d. 0.94

For More NPTEL Answers:-  CLICK HERE Join Our Telegram:-  CLICK HERE

NPTEL Introduction to Machine Learning Assignment 4 Answers 2022:- In This article, we have provided the answers of Introduction to Machine Learning Assignment 4

Disclaimer :- We do not claim 100% surety of solutions, these solutions are based on our sole expertise, and by using posting these answers we are simply looking to help students as a reference, so we urge do your assignment on your own.

NPTEL Introduction to Machine Learning Assignment 4 Answers Jan 2022

Q1.  Consider the 1 dimensional dataset:

State true or false: The dataset becomes linearly separable after using basis expansion with the following basis function  ϕ ( x )=[1 x 2]

Answer:- a

👇 FOR NEXT WEEK ASSIGNMENT ANSWERS 👇

Q2.  Consider the data set given below.

Claim: PLA (perceptron learning algorithm) can learn a classifier that achieves zero misclassification error on the training data. This claim is:

Answer:-   c

Q3.  Which of the following is the correct definition for the neural network kernel?

Answer:-  b

Q4.  State True or False SVM cannot classify data that is not linearly separable even if we transform it to a higher- dimensional space.

Q5.  Consider the following dataset:

Which of these is not a support vector when using a Support Vector Classifier with a polynomial kernel with degree = 3,  C  = 1, and gamma = 0.1?

Q6.  State True or False:

The decision boundary obtained using the perceptron algorithm does not depend on the initial values of the weights.

Answer:-   b

Q7.  Train a Linear perceptron classifier on the modified iris dataset. We recommend using sklearn. Use only the first two features for your model and report the best classification accuracy for l1 and l2 penalty terms.

Answer:-   a

Q8.  Train a SVM classifier on the modified iris dataset. We recommend using sklearn. Use only the first three features. We encourage you to explore the impact of varying different hyperparameters of the model. Specifically try different kernels and the associated hyperparameters. As part of the assignment train models with the following set of hyperparameters RBF-kernel, gamma = 0.5, one-vs-rest classifier, no-feature-normalization.

Try  C  = 0.01, 1, 10. For the above set of hyperparameters, report the best classification accuracy.

Answer:- For Answer Click Here

NPTEL Introduction to Machine Learning Assignment 4 Answers 2022:-  In This article, we have provided the answers of Introduction to Machine Learning Assignment 4

For More NPTEL Answers:-  CLICK HERE

Join Our Telegram:-  CLICK HERE

6 thoughts on “NPTEL Introduction to Machine Learning Assignment 4 Answers 2023”

• Pingback: NPTEL Introduction To Machine Learning Assignment 3 Answers » UNIQUE JANKARI
• Pingback: NPTEL Introduction To Machine Learning Assignment 5 Answers
• Pingback: NPTEL Introduction To Machine Learning Assignment 6 Answers
• Pingback: NPTEL Introduction To Machine Learning Assignment 7 Answers

We need week 8 assignment

Introduction to machine learning iit Madras

The Unique Burial of a Child of Early Scythian Time at the Cemetery of Saryg-Bulun (Tuva)

<< Previous page

Pages:  379-406

In 1988, the Tuvan Archaeological Expedition (led by M. E. Kilunovskaya and V. A. Semenov) discovered a unique burial of the early Iron Age at Saryg-Bulun in Central Tuva. There are two burial mounds of the Aldy-Bel culture dated by 7th century BC. Within the barrows, which adjoined one another, forming a figure-of-eight, there were discovered 7 burials, from which a representative collection of artifacts was recovered. Burial 5 was the most unique, it was found in a coffin made of a larch trunk, with a tightly closed lid. Due to the preservative properties of larch and lack of air access, the coffin contained a well-preserved mummy of a child with an accompanying set of grave goods. The interred individual retained the skin on his face and had a leather headdress painted with red pigment and a coat, sewn from jerboa fur. The coat was belted with a leather belt with bronze ornaments and buckles. Besides that, a leather quiver with arrows with the shafts decorated with painted ornaments, fully preserved battle pick and a bow were buried in the coffin. Unexpectedly, the full-genomic analysis, showed that the individual was female. This fact opens a new aspect in the study of the social history of the Scythian society and perhaps brings us back to the myth of the Amazons, discussed by Herodotus. Of course, this discovery is unique in its preservation for the Scythian culture of Tuva and requires careful study and conservation.

Keywords: Tuva, Early Iron Age, early Scythian period, Aldy-Bel culture, barrow, burial in the coffin, mummy, full genome sequencing, aDNA

Information about authors: Marina Kilunovskaya (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Vladimir Semenov (Saint Petersburg, Russian Federation). Candidate of Historical Sciences. Institute for the History of Material Culture of the Russian Academy of Sciences. Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail: [email protected] Varvara Busova  (Moscow, Russian Federation).  (Saint Petersburg, Russian Federation). Institute for the History of Material Culture of the Russian Academy of Sciences.  Dvortsovaya Emb., 18, Saint Petersburg, 191186, Russian Federation E-mail:  [email protected] Kharis Mustafin  (Moscow, Russian Federation). Candidate of Technical Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Irina Alborova  (Moscow, Russian Federation). Candidate of Biological Sciences. Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected] Alina Matzvai  (Moscow, Russian Federation). Moscow Institute of Physics and Technology.  Institutsky Lane, 9, Dolgoprudny, 141701, Moscow Oblast, Russian Federation E-mail:  [email protected]

Shopping Cart Items: 0 Cart Total: 0,00 € place your order

Price pdf version

student - 2,75 € individual - 3,00 € institutional - 7,00 €

Copyright В© 1999-2022. Stratum Publishing House

FMC Eurasia LLC

Legal entity identifier (lei) details.