机器学习线性代数速查

                                                                                                                                                                                       

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摘要

 

转自：爱可可-爱生活

The Python numerical computation library called NumPy provides many linear algebra functions that may be useful as a machine learning practitioner.

In this tutorial, you will discover the key functions for working with vectors and matrices that you may find useful as a machine learning practitioner.

This is a cheat sheet and all examples are short and assume you are familiar with the operation being performed.

Overview

This tutorial is divided into 7 parts; they are:

1. Arrays

2. Vectors

3. Matrices

4. Types of Matrices

5. Matrix Operations

6. Matrix Factorization

7. Statistics

链接：

https://machinelearningmastery.com/linear-algebra-cheat-sheet-for-machine-learning/

原文链接：

https://m.weibo.cn/1402400261/4211064806130359

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