DS413 | Introduction to Statistical Learning

Instructor: Parimala Kancharla: (office: A17.03.06, email: parimala@iitmandi.ac.in)

Office Hours: (or by appointment)

Discussion Forum: Piazza code-ds413 ,To Join

Class Venue: A18-1

Class Timings: A-slot

TAs

Evaluation

Assignments - 25%

Tutorials/Surprise Quizzes - 15%

Take home questions (Open book)- 5%

Midsem - 25%

Endsem - 30%

Resources

S.N	Topic	Slides	Notes	External References
1.	Introduction	Slides	..	ML Vs LLMs Traditional AI Vs Deep Learning

Recorded Lectures

S.N
Lecture Recordings

Tutorials

S.N	Material
1.	Tutorial-1(Self Practice)
2.	Tutorial-2 (on Assignment-1 and Contour plots)
3.	Quiz-1
4.	Tutorial-3
5.	Tutorial-4 Derivation Noise regularization
6.	Tutorial-5 Solutions

Assignments

S.N	Assignmnet	Release Date	Submission Date
1.	Assignment-1	17/08/2024	31/08/2024
2.	Assignment-2	11/09/2024	05/10/2024
3.	Assignment-3	16/10/2024	10/11/2024

Text books

Pattern Recognition and Machine Learning Book by Christopher Bishop Link
Introduction to Machine Learning by Ethem Alpaydin Link
The Elements of Statistical Learning by Trevor Hastie Robert Tibshirani Jerome Friedman Link

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