Schedule

Suggested Reading

• Chapter 14 of Introduction to Statistical Learning textbook by Gareth James et al.
• Chapter 22 of Understanding ML: From Theory to Algorithms book by Shai Shalev-Shwartz et al.
• Chapter 9 of PR and ML book by Christopher M Bishop
• Chapter 7 of Introduction to Machine Learning by Ethem Alpaydın
• Chapter 25 of Machine Learning: a Probabilistic Perspective by Kevin Murphy

Suggested Reading

• Chapter 14 of Introduction to Statistical Learning textbook by Gareth James et al.
• Clustering with Gaussian Mixtures by Andrew W. Moore, CMU
• Chapter 23 and 24 of Understanding ML: From Theory to Algorithms book by Shai Shalev-Shwartz et al.
• Chapter 9 of PR and ML book by Christopher M Bishop
• Chapter 6 and 7 of Introduction to Machine Learning by Ethem Alpaydın
• Chapter 11 of Machine Learning: a Probabilistic Perspective by Kevin Murphy

Suggested Reading

• Chapter 5 of PR and ML book by Christopher M Bishop
• Chapter 2 in Michael Nielson’s NNDL textbook
• ML chapter from Goodfellow et al. DL book

Suggested Reading

• Chapter 8 of An Introduction to Statistical Learning with Applications in R
• Chapter 14 of PR and ML book by Christopher M Bishop
• Chapter 16 of Machine Learning: A Probabilistic Perspective by Kevin P. Murphy