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Practice problem set: Please find here a growing list of practice problems. You can also refer to this wiki for definitions of several concepts relevant to this course, connections between those concepts through theorems and proofs of those theorems.
It is very important that you attempt the homework problems that were posted at the end of (almost) each lecture.
You can consider solving the following problems from PRML (Pattern Recognition and Machine Learning): 1.1 to 1.16, 1.20 to 1.32, 1.35 to 1.41, 2.1 to 2.8, 2.12, 2.13, 2.14 to 2.40, 3.2 to 3.10, 3.12 to 3.20, 4.2, 4.3, 4.4, 4.7, 4.9, 4.10, 4.12, 4.13, 4.14, 4.15 (harder), 4.16-4.21, 4.24, 5.1 - 5.9, 5.25 (hard), 5.27, 5.28, and following problems from Hastie et. al. : (A) 2.1, 3.2 , 3.5 , 3.6 , 3.7 , 3.12 , 3.19 , 3.21 , 3.23 , 3.27 , 3.28 , 3.29 , 3.30 , 4.2 , 4.3 , 4.4 , 4.5 , 4.6 , 4.7 , 4.8 , 5.16 , 6.2 , 6.4 , 6.6 , 6.9 , 6.11 , 8.1 , 8.2 , 8.5, 8.7, 10.5a, 10.8, 10.12, 11.2, 11.3, 11.4, 11.5, 11.7, 12.1, 12.2, 12.9, 12.10, 12.11 (harder), 13.1, 14.1, 14.2, 14.23 (harder)
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The calendar page for the current offering of this course is available on the LMS at