Machine Learning学习资料汇总（持续更新）¶

1 概述¶

本文旨在汇总本人平时常用的机器学习参考资料，方便自己随时查看、更新，同时也分享给有需要的朋友。本文将不定期更新，确保内容的时效性。

2 在线课程¶

• Standford CS 229: Machine Learning - Bilibili
• Stanford Seminar CS25: Transformers United - YouTube
• 跟李沐学AI - Bilibili
• TensorFlow Developer Certificate Course - Zero to Mastery
• Intro to TensorFlow for Deep Learning - Udacity
• Machine Learning Crash Course - Google
• Machine Learning for Beginners - Microsoft
• Data Science for Beginners - Microsoft
• Kaggle courses

3 技术博客 & 电子书¶

3.1 技术博客¶

• Kaggle Winner's Blog
• Visualizing machine learning one concept at a time - Jay Alammar
• Han Xiao tech blog
• Google AI
• Open AI
• The Unofficial Google Data Science Blog
• Andrej Karpathy blog
• Surge AI blog
• Paper with Code
• Diving into data
• Cloudera Blog
• Cookiecutter Data Science
• Hugging Face Chinese Blog

3.2 电子书¶

• TensorFlow Developer Certificate Learning E-book
• 简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2
• 30天吃掉那只TensorFlow2
• Machine Learning Interviews Book
• 动手学深度学习 - Amazon
• HuggingFace Course
• Forecasting: Principles and Practice - 3^rd Edition
• Rules of Machine Learning
• Machine Learning Glossary

4 GitHub 资源¶

• Data-Science-For-Beginners - Microsoft
• ML-For-Beginners - Microsoft
• Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow
• TensorFlow In Practice
• TensorFlow Examples
• Deep Learning Tuning Playbook

5 Notion 笔记¶

• TensorFlow in Practice on Coursera Notes
• MIT Introduction to Deep Learning Notes

6 竞赛经验¶

• 2021年Kaggle所有赛事TOP方案汇总

6.1 探索性数据分析¶

• Exploratory Data Analysis with Pandas
• Comprehensive data exploration with Python

6.2 特征工程¶

• Feature Engineering Techniques
• IEEE - FE for Local test

6.3 表格型数据建模¶

• Tabular Data Binary Classification: All Tips and Tricks from 5 Kaggle Competitions
• Data Science for tabular data: Advanced Techniques
• Tabular Classification - Tips and Tricks
• Feature Ranking RFE, Random Forest, linear models

6.4 时间序列建模¶

• Time Series Analysis in Python
• Deep Learning for Time Series Forecasting
• Electricity price forecasting with DNNs (+ EDA)

7 总结¶

本文将持续更新，也欢迎提交Pull Requests补充资源。

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