nptel machine learning assignment 2 solutions 2023

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NPTEL Introduction to Machine Learning Assignment 2 Answers 2023

• by QuizXp Team
• February 8, 2023 February 8, 2023

NPTEL Introduction to Machine Learning Assignment 2 Answers 2023? This article will help you with the answer to the  Nation al Programme on Technology Enhanced Learning  ( NPTEL )  Course “ Introduction to Machine Learning Assignment 2 “

Below you can find the answers for Introduction to Machine Learning Assignment 2 Answers 2023

NPTEL Introduction to Machine Learning Assignment 2 Answers 2023:-

Q1. Given a training data set of 10,000 instances, with each input instance having 17 dimensions and each output instance having 2 dimensions, the dimensions of the design matrix used in applying linear regression to this data is

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Q2. Suppose we want to add a regularizer to the linear regression loss function, to control the magnitudes of the weights β . We have a choice between Ω1(β)=Σpi=1|β| and Ω2(β)=Σpi=1β2 Which one is more likely to result in sparse weights?

Q3. The model obtained by applying linear regression on the identified subset of features may differ from the model obtained at the end of the process of identifying the subset during

Q4. Consider forward selection, backward selection and best subset selection with respect to the same data set. Which of the following is true?

Next Week Answers: Assignment 03

Q5. In the lecture on Multivariate Regression, you learn about using orthogonalization iteratively to obtain regression co-effecients. This method is generally referred to as Multiple Regression using Successive Orthogonalization. In the formulation of the method, we observe that in iteration k , we regress the entire dataset on z0,z1,…zk−1 . It seems like a waste of computation to recompute the coefficients for z0 a total of p times, z1 a total of p−1 times and so on. Can we re-use the coefficients computed in iteration j for iteration j+1 for zj−1 ?

Q6. Principal Component Regression (PCR) is an approach to find an orthogonal set of basis vectors which can then be used to reduce the dimension of the input. Which of the following matrices contains the principal component directions as its columns (follow notation from the lecture video)

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Q7. We want to learn a function f(x) of the form f(x)=ax+b which is parameterised by (a,b) . Using squared error as the loss function, which of the following parameters would you use to model this function to get a solution with the minimum loss.

Q8. Let us build a nearest neighbours classifier that will predict which language a word belongs to. Say we represent each word using the following features.

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Introduction to Machine Learning NPTEL Week 2 Solutions NPTEL 2023

This set of MCQ(multiple choice questions) focuses on the Introduction to Machine Learning NPTEL 2023 Week 2 Solutions .

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.

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Answers COMING SOON! Kindly Wait!

Week 1:  Assignment answers Week 2: Assignment answers Week 3: Assignment answers Week 4: Assignment answers Week 5: Assignment answers Week 6: Assignment answers Week 7: Assignment answers Week 8: Assignment answers Week 9: Assignment answers Week 10: Assignment answers Week 11: Assignment answers Week 12: Assignment answers

NOTE:  You can check your answer immediately by clicking show answer button. Introduction to Machine learning NPTEL 2023 Week 2 Assignment Solution” contains 8 questions.

Now, start attempting the quiz.

Introduction to Machine learning NPTEL 2023 Week 2 Solutions

Q1. Given a training data set of 10,000 instances, with each input instance having 17 dimensions and each output instance having 2 dimensions, the dimensions of the design matrix used in applying linear regression to this data is

a) 10000 × 17 b) 10002 × 17 c) 10000 × 18 d) 10000 × 19

Suppose we want to add a regularizer to the linear regression loss function, to control the magnitudes of the weights ββ. We have a choice between Ω1(β)=Σpi=1|β|Ω1()=Σ=1|| and Ω2(β)=Σpi=1β2Ω2()=Σ=12 Which one is more likely to result in sparse weights?

a) Ω1 b) Ω2 c) Both Ω1Ω1 and Ω2Ω2 will result in sparse weights d) Neither of Ω1Ω1 or Ω2Ω2 can result in sparse weights.

Q3. The model obtained by applying linear regression on the identified subset of features may differ from the model obtained at the end of the process of identifying the subset during

a) Forward stepwise selection b) Backward stepwise selection c) Forward stagewise selection d) All of the above

Introduction to Machine Learning NPTEL Week 2 Solutions

Q4. Consider forward selection, backward selection and best subset selection with respect to the same data set. Which of the following is true?

a) Best subset selection can be computationally more expensive than forward selection b) Forward selection and backward selection always lead to the same result c) Best subset selection can be computationally less expensive than backward selection d) Best subset selection and forward selection are computationally equally expensive e)  Both (b) and (d)

Q5. In the lecture on Multivariate Regression, you learn about using orthogonalization iteratively to obtain regression co-effecients. This method is generally referred to as Multiple Regression using Successive Orthogonalization. In the formulation of the method, we observe that in iteration k, we regress the entire dataset on z0,z1,…zk−10,1,…−1 . It seems like a waste of computation to recompute the coefficients for z00 a total of p times, z11 a total of p−1−1 times and so on. Can we re-use the coefficients computed in iteration j for iteration j+1+1 for zj−1−1 ?

a) No. Doing so will result in the wrong γγ matrix. and hence, the wrong βiβ ’s. b) Yes. Since zj−1−1 is orthogonal to zj−l∀l≤j1−∀≤1, the multiple regression in each iteration is essentially a univariate regression on each of the previous residuals. Since the regression coefficients for the previous residuals don’t change over iterations, we can re-use the coefficients for further iterations.

Q6. Principal Component Regression (PCR) is an approach to find an orthogonal set of basis vectors which can then be used to reduce the dimension of the input. Which of the following matrices contains the principal component directions as its columns (follow notation from the lecture video)

a) X b) S c) Xc d) V e) U

Q7. Consider the following five training examples

We want to learn a function f(x)() of the form f(x)=ax+b()=+ which is parameterised by (a,b)(,). Using squared error as the loss function, which of the following parameters would you use to model this function to get a solution with the minimum loss

a) (4,3) b) (1,4) c) (4,1) d) (3,4)

Q8. Here is a data set of words in two languages.

Let us build a nearest neighbours classifier that will predict which language a word belongs to. Say we represent each word using the following features.• Length of the word• Number of consonants in the word• Whether it ends with the letter ’o’ (1 if it does, 0 if it doesn’t)For example, the representation of the word ‘waffle’ would be [6, 2, 0]. For a distance function, use the Manhattan distance. d(a,b)=Σni=1|ai−bi|(,)=Σ=1|−| where a,b∈Rn,∈

Take the input word ‘keto’. With k = 1, the predicted language for the word is?

a) English b) Vinglish c) None of the above

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TVEL Fuel Company of Rosatom has started gradual localization of rare-earth magnets manufacturing for wind power plants generators. The first sets of magnets have been manufactured and shipped to the customer.

In total, the contract between Elemash Magnit LLC (an enterprise of TVEL Fuel Company of Rosatom in Elektrostal, Moscow region) and Red Wind B.V. (a joint venture of NovaWind JSC and the Dutch company Lagerwey) foresees manufacturing and supply over 200 sets of magnets. One set is designed to produce one power generator.

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TVEL Fuel Company of Rosatom incorporates enterprises for the fabrication of nuclear fuel, conversion and enrichment of uranium, production of gas centrifuges, as well as research and design organizations. It is the only supplier of nuclear fuel for Russian nuclear power plants. TVEL Fuel Company of Rosatom provides nuclear fuel for 73 power reactors in 13 countries worldwide, research reactors in eight countries, as well as transport reactors of the Russian nuclear fleet. Every sixth power reactor in the world operates on fuel manufactured by TVEL. www.tvel.ru

NovaWind JSC is a division of Rosatom; its primary objective is to consolidate the State Corporation's efforts in advanced segments and technological platforms of the electric power sector. The company was founded in 2017. NovaWind consolidates all of the Rosatom’s wind energy assets – from design and construction to power engineering and operation of wind farms.

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Introduction to machine learning - iitkgp - assignment-8 solution released.

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Introduction to Machine Learning - IIT KGP NPTEL course Assignment 7 Question 6 Options Change

Hi,     There is a mistake in Question 6 of Assignment 7. We have mistakenly given Option B and D same. We need to change option D. We are posting the change here : Q6 : Suppose the VC dimension of a hypothesis space is 6. Which of the following are true?  A) At least one set of 6 points can be shattered by the hypothesis space.  B) No sets of 6 points can be shattered by the hypothesis space.  C) All sets of 6 points can be shattered by the hypothesis space.  D) No set of 7 points can be shattered by the hypothesis space. We have changed only option D. The Question statement and other options remain same. As Assignment 7 is already published,  this change in option D cannot be reflected in the NPTEL assignment page/portal. But while giving your answer for this Q6, please consider  option D as D) No set of 7 points can be shattered by the hypothesis space.  Also please note that it is a multiple correct answer type question.

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Introduction to machine learning - iitkgp - assignment-6 solution released.

The Assignment- 6 of Week- 6 Solution for the course Introduction to Machine Learning - IITKGP   has been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum.

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Introduction to Machine Learning - IITKGP - Week 7 content is live now!!

The lecture videos for Week 7 have been uploaded for the course Introduction to Machine Learning - IITKGP . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=59&lesson=60

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Introduction to machine learning - iitkgp - assignment-4 and 5 solution released.

The Assignment- 4 and 5 of Week- 4 and 5 Solution for the course Introduction to Machine Learning - IITKGP   has been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum.

Link: Assignment 4:  https://drive.google.com/file/d/1ObyCXuIoj2Z389HGdEBmCU1QvbBzOUOo/view Assignment 5:  https://drive.google.com/file/d/1XDwEIshtXDOj_WPr2y7v3uy5S_8w8Xq-/view

Exam Format - Sep 26, 2021

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 - IITKGP - Week 6 content is live now!!

The lecture videos for Week 6 have been uploaded for the course Introduction to Machine Learning - IITKGP . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=50&lesson=51

Assignment  6 for Week 6 is also released and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=50&assessment=108

The assignment has to be submitted on or before Wednesday, 08-09-2021 , 23:59 IST.

Today is the last date to register for September 26 exam !!!

Read below for more details: 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 the 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: September 26, 2021. Certification exam registration URL is:  https://examform.nptel.ac. in/   Choose from the Cities where exam will be conducted:   Exam cities 4. Last date for exam registration  : August 29, 2021, 23:59 PM (Sunday). 

Exam fees will be Rs. 1000/- per exam. 

(We are not changing it to Rs 1500/- this time due to covid exemption ; it will be Rs 1000/- till August 29,2021)

Introduction to Machine Learning - IITKGP - Week 5 Feedback Form

Exam registration for september exams is extended till aug 29 - register today.

Read below for more details: 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 the 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: September 26, 2021. Certification exam registration URL is:  https://examform.nptel.ac. in/   Choose from the Cities where exam will be conducted:   Exam cities 4. Last date for exam registration extended till : August 29, 2021, 23:59 PM (Sunday).  EXAM FEES:

Introduction to Machine Learning - IITKGP - Assignment-3 Solution Released

The Assignment- 3 of Week- 3 Solution for the course Introduction to Machine Learning - IITKGP   has been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum.

Link:  https://drive.google.com/file/d/16oHHK6CGbkojo0CpqzPKCNvfXMMEKUvp/view

Introduction to Machine Learning - IITKGP : Assignment 1 question no 2 & 5

Dear Students, There are changes in answers in assignment 1 question no 2 & 5. The re-evaluation has been done. The updated score is displayed under Progress tab. Sorry for the inconvenience. -NPTEL Team

Introduction to Machine Learning - IITKGP - Week 5 content is live now!!

The lecture videos for Week 5 have been uploaded for the course Introduction to Machine Learning - IITKGP . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=40&lesson=41

Assignment  5 for Week 5 is also released and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=40&assessment=107

The assignment has to be submitted on or before Wednesday, 01-09-2021 , 23:59 IST.

Introduction to Machine Learning - IITKGP - Assignment-1 and 2. Solution Released

The Assignment- 1 and 2 of Week- 1 and 2 Solution for the course Introduction to Machine Learning - IITKGP   has been released in the portal. Please go through the solution and in case of any doubt post your queries in the forum.

Link: Assignment 1:  https://drive.google.com/file/d/1RzsYvskVyqQaRSCq9EHXlEfvn_YZAw-c/view Assignment 2:  https://drive.google.com/file/d/1NKAXV7ixZEbeB29O8v0f6Uwle0ziX67G/view

Introduction to Machine Learning - IITKGP - Week 4 Feedback Form

Exam registration for september exams is extended- register today.

Read below for more details: 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 the 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: September 26, 2021. Certification exam registration URL is:  https://examform.nptel.ac. in/   Choose from the Cities where exam will be conducted:  Exam cities 4. Last date for exam registration extended till : August 27, 2021, 5:00 PM (Friday).  EXAM FEES:

(We are not changing it to Rs 1500/- this time due to covid exemption ; it will be Rs 1000/- till August 27,2021)

Introduction to Machine Learning - IITKGP - Week 4 content is live now!!

The lecture videos for Week 4 have been uploaded for the course Introduction to Machine Learning - IITKGP . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=32&lesson=33

Assignment  4 for Week 4 is also released and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=32&assessment=106

Introduction to Machine Learning - IITKGP - Week 3 Feedback Form

Introduction to machine learning - iitkgp - week 2 content is live now.

The lecture videos for Week 2 have been uploaded for the course Introduction to Machine Learning - IITKGP . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=14&lesson=15

Assignment  2 for Week 2 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=14&assessment=104

The assignment has to be submitted on or before Wednesday, 18-08-2021 , 23:59 IST.

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

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: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=6&lesson=7

Assignment 1 for Week 1 is also released and can be accessed from the following link:  https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=6&assessment=103

The due date for the   Assignment  1  for  Week 1 has been extended  and to be submitted on or before Wednesday,  18-08-2021 , 23:59 IST.

Introduction to Machine Learning - IITKGP - Week 3 content is live now!!

The lecture videos for Week 3 have been uploaded for the course Introduction to Machine Learning - IITKGP . The lectures can be accessed using the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=23&lesson=24

Assignment  3 for Week 3 is also released and can be accessed from the following link: https://onlinecourses.nptel.ac.in/noc21_cs85/unit?unit=23&assessment=105

The assignment has to be submitted on or before Wednesday, 25-08-2021 , 23:59 IST.

Introduction to Machine Learning - IITKGP - Week 2 Feedback Form

Introduction to machine learning - iitkgp - week 1 feedback form, introduction to machine learning - iitkgp - download video links are available now.

The download video links for the course Introduction to Machine Learning - IITKGP are available now in the course outline. Please check the download video link: https://nptel.ac.in/courses/106/105/106105152/

-NPTEL Team

NPTEL: Exam Registration is open now for July 2021 courses!

April 2021 exams: Due to the continued pandemic situation, April course exams for the Jan - April 2021 semester stand postponed until further notice. We will announce the exam dates once they are confirmed.

July 2021 exams: As per our calendar, the exams for the July 2021 semester are being planned as mentioned in the Timelines document; and so we have opened the exam registration form for the same. As of now, the exam dates stay the same; if there is any change in the future we will announce it.

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: September 26, 2021

Certification exam registration URL is: https://examform.nptel.ac.in/  

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

4. Exam fees: 

If you register for the exam and pay before August 16, 2021, 10:00 AM, Exam fees will be Rs. 1000/- per exam . 

If you register for exam before August 16, 2021, 10:00 AM and have not paid or if you register between August 16, 2021, 10:00 AM & August 20, 2021, 5:00 PM, 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: August 20, 2021, 5:00 PM (Friday). 

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

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: August 20, 2021, 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: August 20, 2021, 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/noc/Domain/discipline.html

Thanks & Regards, 

NPTEL TEAM.

Introduction to Machine Learning - IITKGP - Assignment-0-RELEASED

We welcome you all to this course. The assignment 0 for the course Introduction to Machine Learning has been released. This assignment is based on a prerequisite of the course. Kindly note that marks obtained in this assignment will not be considered for the final assessment. You can find the assignment under Week 0 unit on the left-hand side of your screen You can submit the assignment multiple times before the due date. All the best !!    

The due date of Assignment 0: 26-07- 2021 , 23:59 IST.  

Welcome to NPTEL Online Course - July 2021!!

• 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: 26 September 2021  Morning session 9am to 12 noon; Afternoon Session 2pm to 5pm.
• 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. 

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