The Little Blue Book is a book named Statistical Learning Methods written by the famous Dr. Li Hang. Because its cover is blue, it is called the little blue book. It has published the second edition.

1. Learning principles are necessary.

The book Statistical Learning Methods introduces the basic algorithms of supervised learning and unsupervised learning in detail. Not only that, it also lists many examples to help you better understand the algorithm.

This book can be said to be a necessary book for machine learning researchers. First, because of the authority of the author, he has many years of practical experience; Secondly, because its explanation of the principle is very refined, it is necessary to derive the formula of the algorithm process. Although some of them are too concise and difficult to understand, isn't that why we need to learn this book?

2. Job hunting is essential.

Now the AI fire has naturally attracted a large number of people who want to enter this industry, especially algorithm engineer. Many people submit resumes every day.

Then, when interviewing algorithm engineer or other positions related to data mining and algorithms, the interview will always ask you some principles of algorithms, or let you push the algorithms by hand. And many times I will refer to the little blue book to ask questions.