Machine Learning Cheat Sheet: Classical equations, diagrams and tricks in machine learning
Machine Learning Cheat Sheet: Classical equations, diagrams and tricks in machine learning
by Wei Zhang
English | 2020 | ASIN: B0868T2X46 | 238 Pages | EPUB | 3 MB
by Wei Zhang
English | 2020 | ASIN: B0868T2X46 | 238 Pages | EPUB | 3 MB
This cheat sheet is a condensed version of machine learning manual, which contains many classical equations and
diagrams on machine learning, and aims to help you quickly recall knowledge and ideas in machine learning.
This cheat sheet has two significant advantages:
1. Clearer symbols. Mathematical formulas use quite a lot of confusing symbols. For example, X can be a set, a random
variable, or a matrix. This is very confusing and makes it very difficult for readers to understand the meaning of
math formulas. This cheat sheet tries to standardize the usage of symbols, and all symbols are clearly pre-defined,
see section §.
2. Less thinking jumps. In many machine learning books, authors omit some intermediary steps of a mathematical
proof process, which may save some space but causes difficulty for readers to understand this formula and readers
get lost in the middle way of the derivation process. This cheat sheet tries to keep important intermediary steps as
where as possible.