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Top 10 books of AI

Top 10 books of AI (OpenAI playground)

  1. Artificial Intelligence: A Modern Approach, 3rd Edition by Stuart Russell and Peter Norvig
  2. Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
  3. Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
  4. Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
  5. Pattern Recognition and Machine Learning by Christopher Bishop
  6. Natural Language Processing with Python by Steven Bird, Ewan Klein and Edward Loper
  7. Artificial Intelligence: Foundations of Computational Agents by David L. Poole and Alan K. Mackworth
  8. Programming Collective Intelligence by Toby Segaran
  9. Artificial Intelligence: A Guide to Intelligent Systems by Michael Negnevitsky
  10. Bayesian Reasoning and Machine Learning by David Barber

人工智能的前 10 本书

  1. 人工智能:一种现代方法,第 3 版,作者:Stuart Russell 和 Peter Norvig
  2. 机器学习:凯文·P·墨菲 (Kevin P. Murphy) 的概率论视角
  3. Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的《深度学习》
  4. 强化学习:Richard S. Sutton 和 Andrew G. Barto 的介绍
  5. Christopher Bishop 的模式识别和机器学习
  6. Steven Bird、Ewan Klein 和 Edward Loper 使用 Python 进行自然语言处理
  7. 人工智能:计算代理的基础 David L. Poole 和 Alan K. Mackworth
  8. Toby Segaran 编写的集体智能编程
  9. 人工智能:智能系统指南 Michael Negnevitsky
  10. David Barber 的贝叶斯推理和机器学习

Top 10 books of AI (ChatGPT)

Here are ten popular books on artificial intelligence, in no particular order:

  1. Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig
  2. Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
  3. An Introduction to Artificial Intelligence” by Philip C. Jackson
  4. Machine Learning” by Tom Mitchell
  5. Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto
  6. Pattern Recognition and Machine Learning” by Christopher Bishop
  7. Artificial Intelligence with Python” by Prateek Joshi
  8. The Hundred-Page Machine Learning Book” by Andriy Burkov
  9. Data Science from Scratch” by Joel Grus
  10. Neural Networks and Deep Learning: A Textbook” by Charu Aggarwal
  1. “人工智能:一种现代方法”,作者:Stuart Russell 和 Peter Norvig
  2. Ian Goodfellow、Yoshua Bengio 和 Aaron Courville 的“深度学习”
  3. 菲利普·杰克逊 (Philip C. Jackson) 的“人工智能简介”
  4. Tom Mitchell 的“机器学习”
  5. “强化学习:简介”,作者:Richard S. Sutton 和 Andrew G. Barto
  6. Christopher Bishop 的“模式识别和机器学习”
  7. Prateek Joshi 的“使用 Python 的人工智能”
  8. Andriy Burkov 的《百页机器学习书》
  9. Joel Grus 的“从零开始的数据科学”
  10. Charu Aggarwal 的“神经网络和深度学习:一本教科书”
Top 10 books of AI (OpenAI playground)Top 10 books of AI (ChatGPT)
Artificial Intelligence: A Modern Approach, 3rd Edition by Stuart Russell and Peter Norvig
Machine Learning: A Probabilistic Perspective by Kevin P. Murphy
Deep Learning by Ian Goodfellow, Yoshua Bengio and Aaron Courville
Reinforcement Learning: An Introduction by Richard S. Sutton and Andrew G. Barto
Pattern Recognition and Machine Learning by Christopher Bishop
Natural Language Processing with Python by Steven Bird, Ewan Klein and Edward Loper
Artificial Intelligence: Foundations of Computational Agents by David L. Poole and Alan K. Mackworth
Programming Collective Intelligence by Toby Segaran
Artificial Intelligence: A Guide to Intelligent Systems by Michael Negnevitsky
Bayesian Reasoning and Machine Learning by David Barber
“Artificial Intelligence: A Modern Approach” by Stuart Russell and Peter Norvig
“Deep Learning” by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
“An Introduction to Artificial Intelligence” by Philip C. Jackson
“Machine Learning” by Tom Mitchell
“Reinforcement Learning: An Introduction” by Richard S. Sutton and Andrew G. Barto
“Pattern Recognition and Machine Learning” by Christopher Bishop
“Artificial Intelligence with Python” by Prateek Joshi
“The Hundred-Page Machine Learning Book” by Andriy Burkov
“Data Science from Scratch” by Joel Grus
“Neural Networks and Deep Learning: A Textbook” by Charu Aggarwal
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