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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

  • 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:

  • 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:

  • 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

  • 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

  • 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。

分类:

人工智能

标签:

机器学习

作者介绍

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