线性代数
教程:
[MIT OpenCourseWare Linear Algebra](https://ocw.mit.edu/courses/mathematics/1806linearalgebraspring2010/)
[Khan Academy Linear Algebra](https://www.khanacademy.org/math/linearalgebra)
概率与统计
教程:
[Stanford CS109: Introduction to Probability for Computer Scientists](http://cs229.stanford.edu/section/cs229prob.pdf)
[Khan Academy Statistics and Probability](https://www.khanacademy.org/math/statisticsprobability)
2、编程技能
Python
Python 是 AI 和机器学习中最常用的编程语言。
教程:
[Codecademy Learn Python](https://www.codecademy.com/learn/learnpython3)
[Coursera Python for Everybody](https://www.coursera.org/specializations/python)
数据结构与算法
教程:
[GeeksforGeeks Data Structures](https://www.geeksforgeeks.org/datastructures/)
[LeetCode](https://leetcode.com/) (练习算法)
3、机器学习基础
基础概念
教程:
[Andrew Ng's Machine Learning Course on Coursera](https://www.coursera.org/learn/machinelearning)
[Fast.ai Practical Deep Learning for Coders](https://course.fast.ai/)
深度学习
教程:
[DeepLearning.AI Neural Networks and Deep Learning](https://www.coursera.org/learn/neuralnetworksdeeplearning)
[TensorFlow Tutorials](https://www.tensorflow.org/tutorials)