A Summary of Tutorials in Machine Learning
This article mainly summarizes some machine learning related resources.
Edits and pull requests are welcome to add.
First of all, you can simply read the first two articles What is AI? and Popular Explanation of Deep Learning have a general understanding of machine learning in a popular way, and then learn theoretical knowledge.
For developers, code is definitely the best way to get started. It can be understood more quickly. It is also possible to read the tutorial of the training framework and try it first before learning theoretical knowledge.
Resources include but are not limited to:
- books
- github repository
- website
- video
GitHub open source repository
- Mikoto10032/DeepLearning: 深度学习入门教程, 优秀文章, Deep Learning Tutorial
- d2l-ai/d2l-zh: 《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。
- scutan90/DeepLearning-500-questions: 深度学习500问
- AMAI-GmbH/AI-Expert-Roadmap: Roadmap to becoming an Artificial Intelligence Expert in 2022
- floodsung/Deep-Learning-Papers-Reading-Roadmap: Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
- mbadry1/DeepLearning.ai-Summary: personal notes and summaries on DeepLearning.ai specialization courses.
Videos
PR is welcome
Books
PR is welcome