目录 (1) 作业1（Supervised Learning） 1 (2) 作业1解答（Supervised Learning） 5 (3) 作业2（Kernels, SVMs, and Theory） 15 (4) 作业2解答（Kernels, SVMs, and Theory） 19 (5) 作业3（Learning Theory and Unsupervised Learning） 27 (6) 作业3解答（Learning Theory and Unsupervised Learning） 31
(7) 作业4（Unsupervised Learning and Reinforcement Learning） 39 (8) 作业4解答（Unsupervised Learning and Reinforcement Learning） 44 (9) Problem Set #1: Supervised Learning 56 (10) Problem Set #1 Answer 62 (11) Problem Set #2: Problem Set #2: Naive Bayes, SVMs, and Theory 78 (12) Problem Set #2 Answer 85 CS22
