Ask HN: What are some good books on AI?

3 points·essofluffy··5 comments

Looking for books discussing AI on a higher level and books focusing in current practices in the AI field.

If you have mastered the basics (e.g. Norvig's AIMA, Hastie and Tibshirani's Elements of Statistical Learning, Koller's PGM), then I would suggest that the only place to really get a view of the state of the art is by reading papers.

In general, scientific books are an overview of a field, which can only occur with sufficient time for hindsight and synthesis. Even a thousand page book such as Koller's PGM will be littered with references and suggestions of papers to read for a deeper understanding.

One partial exception might be the Deep Learning book by Goodfellow and Bengio, which was made public only a month or so ago. Even this, however, is just an overview. http://www.deeplearningbook.org/

Is there anyway to find papers without the references and suggestions in books?

As T-A suggested, arXiv is a great source, especially with the frustration over the profiteering of the publishing industry, although you always have to be aware that arXiv papers are not peer-reviewed.

There is also http://gitxiv.com/, which includes source code.

If you are at a university or a company with deep pockets, you can also use http://dl.acm.org/ or http://ieeexplore.ieee.org/Xplore/home.jsp.

I've also heard of certain hubs of science on the internet, but I wouldn't know anything about that.

Obsessively watch https://arxiv.org/list/cs.AI/recent ?

This is the inevitable standard reference: http://aima.cs.berkeley.edu/

Another textbook, often linked on HN, and freely available online: http://artint.info/

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