[机器学习基础] Notes on Machine Learning

This note was written when I was starting studying machine learning. The first part includes mathematical background such as linear algebra, probability, statistics, information theory, and numerical computation. The second part illustrate the learning theory, foundations of machine learning, and some commonly used learning algorithms. The third part shows some basic idea of deep learning. The whole note is 369 pages long.

This note can be downloaded in the following link:

Notes on Machine Learning.pdf