DS413 — Introduction to Statistical Learning

DS413 | Odd Sem 2026

Course Information

Teaching Assistants

  1. Richa Thakur (d23151[at]students[dot]iitmandi[dot]ac[dot]in)
  2. Ravi Shankar Prasad (d23033[at]students[dot]iitmandi[dot]ac[dot]in)
  3. Shagun Bhatt (d24136[at]students[dot]iitmandi[dot]ac[dot]in)
  4. Tarun Saini (d24151[at]students[dot]iitmandi[dot]ac[dot]in)
  5. Vandita Dutt (d22140[at]students[dot]iitmandi[dot]ac[dot]in)

Evaluation

Component
Weightage
Assignments
15%
Quizzes
15%
Tutorials
5%
Viva
5%
Midsem
30%
Endsem
30%
Attendance
As per institute norms

Resources

S.NTopicSlidesNotesExternal References
1 Introduction to Machine Learning Slides Notes References
2 Matrices, Matrix Operations (Addition, Multiplication, etc.), Linear Independence and Vector Spaces Slides Notes References
3 Eigenvalues and Eigenvectors, Rank of Matrix, Differentiation and Partial Differentiation Slides Notes References

Recorded Lectures

S.NRecording
1Lecture Recording 1
2Lecture Recording 2

Tutorials

S.NMaterial
1Tutorial 1

Assignments

S.NAssignmentRelease DateSubmission Date
1TBATBATBA
2TBATBATBA
3TBATBATBA

Textbooks

  1. Pattern Recognition and Machine Learning — Christopher Bishop [Link]
  2. Introduction to Machine Learning — Ethem Alpaydin [Link]
  3. The Elements of Statistical Learning — Trevor Hastie, Robert Tibshirani, Jerome Friedman [Link]