The assignments of this course partly come from the Berkeley AI project. Assignment 1 and 2 can be found directly on ai.berkeley.edu Programs are rewritten in a way such that students can not directly use the source code of this repo or they will Fail autograder.py.

Homework 3 was basically designed by TA of this course. Topics like KNN, Perceptron, Pricipal Component Analysis etc. are covered.

In order to prevent potential plagiarism by future students of this course, hidden pitfalls are implanted in the code. All codes can NOT be directly used.

Correct algorithms are instead described in these three files:

• /hw1/report.pdf
• /hw2/report.pdf
• /hw3/report.pdf

Also, the .tex files of these three reports are provided, for quick reference.

Please refer to them instead.