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2022/06/12阅读:44主题:自定义主题1
机器学习资料汇总
机器学习资料汇总
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
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Standford CS 229: Machine Learning - Bilibili:https://www.bilibili.com/video/BV1pp4y1t7Na?spm_id_from=333.337.search-card.all.click -
跟李沐学AI - Bilibili:https://space.bilibili.com/1567748478/channel/series -
TensorFlow Developer Certificate Course - Zero to Mastery:https://dbourke.link/ZTMTFcourse -
Intro to TensorFlow for Deep Learning - Udacity:https://www.udacity.com/course/intro-to-tensorflow-for-deep-learning--ud187 -
Machine Learning Crash Course - Google:https://developers.google.com/machine-learning/crash-course -
Machine Learning for Beginners - Microsoft:https://microsoft.github.io/ML-For-Beginners/#/ -
Data Science for Beginners - Microsoft:https://microsoft.github.io/Data-Science-For-Beginners/#/
3 技术博客 & 电子书
技术博客:
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Visualizing machine learning one concept at a time - Jay Alammar:http://jalammar.github.io/ -
Han Xiao tech blog:https://hanxiao.io/ -
Google AI:https://blog.google/technology/ai/ -
Open AI:https://openai.com/ -
The Unofficial Google Data Science Blog:https://www.unofficialgoogledatascience.com/
电子书:
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TensorFlow Developer Certificate Learning E-book:https://dev.mrdbourke.com/tensorflow-deep-learning/ -
简单粗暴 TensorFlow 2 | A Concise Handbook of TensorFlow 2:https://tf.wiki/ -
30天吃掉那只TensorFlow2:https://lyhue1991.github.io/eat_tensorflow2_in_30_days/chinese/ -
Machine Learning Interviews Book:https://huyenchip.com/ml-interviews-book/ -
动手学深度学习 - Amazon:https://zh-v2.d2l.ai/ -
HuggingFace Course:https://huggingface.co/course/chapter1/1 -
Forecasting: Principles and Practice - 3rd Edition:https://otexts.com/fpp3/index.html -
Rules of Machine Learning:https://developers.google.com/machine-learning/guides/rules-of-ml#terminology
4 GitHub 资源
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Data-Science-For-Beginners - Microsoft:https://github.com/microsoft/Data-Science-For-Beginners -
ML-For-Beginners - Microsoft:https://github.com/microsoft/ML-For-Beginners -
Hands-on Machine Learning with Scikit-Learn, Keras and TensorFlow:https://github.com/ageron/handson-ml2 -
TensorFlow In Practice:https://github.com/lmoroney/dlaicourse
5 Notion 笔记
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TensorFlow in Practice on Coursera Notes:https://www.notion.so/Course-TensorFlow-in-Practice-on-Coursera-Notes-5f4f8915fe3342e2a69f75ef1986ba3b -
MIT Introduction to Deep Learning Notes:https://www.notion.so/Course-MIT-Introduction-to-Deep-Learning-Notes-0e48ecc9ed7342b7b448956bed9e0e75
6 总结
本文将持续更新,也欢迎在下方分享你常用的资源。

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