This niche holds textbooks, histories and arguments about artificial intelligence and machine learning, from early symbolic AI and cybernetics to deep learning, OpenAI and DeepMind.
38 books on AI and machine learning, recommended by 18 people including Patrick Collison and Andrew Wilkinson.
38 books · 19 experts
“Pedro Domingos's overview of the five tribes of machine learning is one Altman has mentioned as a useful map for non-specialists. It argues for a unified learning algorithm underlying all approaches — an idea that aged interestingly given where deep learning went after the book's publication.”Sam Altman
“Brian Christian's account of the state of AI alignment research is one Altman has flagged as the best current-state overview for a general audience. It covers the difficulty of specifying what we want AI to do in a way that makes the problem legible without reducing it.”Sam Altman
“Everything is about to be changed by AI in a radical, scary way”Andrew Wilkinson
The people who wrote this page's books, and the people who recommend them.
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