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We Discuss About That NPTEL Introduction to Machine Learning Assignment 11 Answer
NPTEL Introduction to Machine Learning Assignment 11 Answer ā Here All The Questions and Answers Provided to Help All The Students and NPTEL Candidate as a Reference Purpose, It is Mandetory to Submit Your Weekly Assignment By Your Own Understand Level.
Are you looking for the Assignment Answers to NPTEL Introduction to Machine Learning Assignment 11 Answer? If Yes You are in Our Great Place to Getting Your Solution, This Post Should be help you with the Assignment answer to theĀ National Programme on Technology Enhanced LearningĀ (NPTEL) Course āNPTEL Introduction to Machine Learning Assignment 11 Answerā
Table of Contents
NPTEL Introduction to Machine Learning Assignment
ABOUT THE COURSE :
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.
INTENDED AUDIENCE :Ā This is an elective course. Intended for senior UG/PG students. BE/ME/MS/PhD
PREREQUISITES :Ā We will assume that the students know programming for some of the assignments.If the students have done introductory courses on probability theory and linear algebra it would be helpful. We will review some of the basic topics in the first two weeks as well.
INDUSTRY SUPPORT :Ā Any company in the data analytics/data science/big data domain would value this course
Next Week Assignment Answers
This course can have Associate in Nursing unproctored programming communication conjointly excluding the Proctored communication, please check announcement section for date and time. The programming communication can have a weightage of twenty fifth towards the ultimate score.
Assignment score = 25% of average of best 8 assignments out of the total 12 assignments given in the course.
( All assignments in a particular week will be counted towards final scoring ā quizzes and programming assignments).Ā
Unproctored programming exam score = 25% of the average scores obtained as part of Unproctored programming exam ā out of 100
Proctored Exam score =50% of the proctored certification exam score out of 100
YOU WILL BE ELIGIBLE FOR A CERTIFICATE ONLY IF ASSIGNMENT SCORE >=10/25 AND UNPROCTORED PROGRAMMING EXAM SCORE >=10/25 AND PROCTORED EXAM SCORE >= 20/50.Ā
If any one of the 3 criteria is not met, you will not be eligible for the certificate even if the Final score >= 40/100.Ā
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1 point
What is the minimum value ofĀ k‘ā kkā²ā k, whereĀ kkĀ is from previous question, for which you will get a very similar density estimation?
Ā 3
Ā 4
Ā 5
Ā 6
AnsĀ Ā – C
2 points
Assume equalĀ ĻiĻiĀ for each gaussian model after convergence as in Q2. What would (approximately) beĀ ĻiĻiās for the model youāll get withĀ kkā² as in Q3?
KNN is a special case of GMM with the following properties: (Select all that apply)
γi=i(2Ļϵ)1/2eā12ϵγi=i(2Ļϵ)1/2eā12ϵ
Covariance = ϵIϵI
μi=μjāi,jμi=μjāi,j
Ļk=1k
AnsĀ Ā – All
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