机器学习转行的基础资料

刚才的转行帖子写的很好，想转ML/AI track，数学是基础（线性代数，统计概率论），coding是工具，algorithm/数据结构是衔接的桥梁。
自己也是转行过来的，共享一些ML资源链接

1. 线性代数
https://www.edx.org/course/linea ... ions-to-frontiers-2
This MOOC gives a very applied introduction to Linear Algebra, starting from zero.

http://math.mit.edu/~gs/linearalgebra/
this website will become a valuable resource for everyone learning and doing linear algebra

https://www.khanacademy.org/math/linear-algebra
We will begin our journey through linear algebra by defining and conceptualizing what a vector is (rather than starting with matrices and matrix operations like in a more basic algebra course) and defining some basic operations (like addition, subtraction and scalar multiplication).

2. Neural Networks

This article gives short descriptions of the architectures of existing Neural Networks.
http://www.asimovinstitute.org/neural-network-zoo/

3.  Deep learning

A book on DL
https://www.manning.com/books/grokking-deep-learning

This is a book repo. The book taught us about Deep learning. It is written by Sebastian Raschka. Main Benefits will be we could learn theoretical concept as well as the coding knowledge.
https://github.com/rasbt/deep-learning-book

4. Pytorch

This is a video for the beginner who wants to know basics about Deep Learning framework Pytorch.
https://www.youtube.com/watch?v= ... yHZsM6ufI0iZENK9xgG

Build compiler by PyTorch
https://jott.live/markdown/Writi ... ler%20for%20PyTorch

5. AI school

a world-class AI education to anyone on Earth for free
https://www.theschool.ai
resource database：more than 1000links!

https://airtable.com/shrwVC7gPOu ... MLjwrbv?blocks=hide

机器学习转行最低效的学习方法：列书单。

机器学习的免费电子书系列

1.  Automate the Boring Stuff with PythonAl

https://automatetheboringstuff.com/

2. 《社会媒体挖掘》Social Media Mining: An Introduction

http://dmml.asu.edu/smm/

3. 《Python 自然语言处理》Natural Language Processing with Python

https://www.nltk.org/book/

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