发布时间:2025-10-21 20:29:57
| 🔥MIT的12本免费AI书籍(附下载链接) 1. Foundations of Machine Learning(机器学习基础,适合初学者): https://cs.nyu.edu/~mohri/mlbook/ 2. Introduction to Machine Learning Systems(机器学习系统简介): https://www.mlsysbook.ai/assets/downloads/Machine-Learning-Systems.pdf 3. Understanding Deep Learning(理解深度学习): https://udlbook.github.io/udlbook/ 4. Probabilistic Machine Learning(概率机器学习): https://probml.github.io/pml-book/book1.html https://probml.github.io/pml-book/book2.html 5. Deep Learning(深度学习,经典无需多言): https://www.deeplearningbook.org/ 6. Reinforcement Learning(强化学习,适合初学者): https://www.andrew.cmu.edu/course/10-703/textbook/BartoSutton.pdf 7. Distributional Reinforcement Learning(分布式强化学习): https://direct.mit.edu/books/oa-monograph-pdf/2111075/book_9780262374026.pdf 8. Multi Agent Reinforcement Learning(多智能体强化学习): https://marl-book.com/ 9. Agents in the Long Game of AI(AI长期游戏中的智能体): https://direct.mit.edu/books/oa-monograph-pdf/2471103/book_9780262380355.pdf 10. Fairness and Machine Learning(公平性和机器学习): https://fairmlbook.org/ 11. Algorithms for ML(机器学习算法): https://algorithmsbook.com/ 12. Learning Theory from First Principles(用第一性原理学习理论): https://www.di.ens.fr/~fbach/ltfp_book.pdf #ai #大模型 #电子书下载 #免费学习资源网站 #AI人工智能 #mit #麻省理工 #强化学习 #机器学习 |
上一篇:扬州直聘,扫码进群