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Advice on good book on AI

 
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What book on Artificial Intelligence would you suggest to a non-novice reader, just to get updated with recent research and results ? I thought of Artificial Intelligence: A Modern Approach, last edition, but before buying it I'd like to hear opinions from someone who has already read it.
Thanks.
 
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Who wrote it? Was it Russell and Norvig? That book is good, but heavy reading, with lots of algorithms. It is worth checking the latest edition's date. Have you checked the reviews on well-known books websites or similar?
 
Claude Moore
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Yes, it's Russel and Norvig's book. Third edition has been generally available since 2015- if I'm not wrong - it should not be outdated.
I got a degree in Computer Science, and followed an Artificial Intelligence course ages ago, so I hope to have a sufficient background to read and understand this textbook...
 
Claude Moore
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At the very end I bought it; looks very interesting.
 
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Have you read Introduction to Artificial Intelligence by Philip C Jackson? It's a decent book for newbies. I would also recommend The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) by Trevor Hastie, Robert Tibshirani & Jerome Friedman.

Claude Moore wrote:What book on Artificial Intelligence would you suggest to a non-novice reader, just to get updated with recent research and results ? I thought of Artificial Intelligence: A Modern Approach, last edition, but before buying it I'd like to hear opinions from someone who has already read it.
Thanks.

 
Claude Moore
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Shawna, thanks for your reply. No, I haven't read Introduction to Artificial Intelligence; I think that the book I'm currently studying should cover enough material.
Instead, the second title you suggested looks really interesting. Anyway, I think that after finishing AI: a modern approach I will go fo something more specific on Deep Learning.
By the way, any hint on that topic ?
 
Greenhorn
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John Haugeland’s Artificial Intelligence - the Very Idea is a classic. Gives insight on the problems that early AI innovators faced when trying to map cognition into computation.
Superintelligence by Nick Bostrom talks about the possibility of AI being smarter than us. There’s also a series of machine learning e-books by Dr. Jason Brownlee, Products - Machine Learning Mastery that give you lots of practical knowledge.
 
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In addition to those great books which are inspiring to me, I think the latest book I published, Pragmatic AI: An Introduction to Cloud-Based Machine Learning, is a fun and light way to make progress with AI on day 1.  Lots of real world projects and pointers toward approaches to build things.

A lot of free associated colab notebooks are below so you can get an idea of what you are in for:

https://github.com/noahgift/managed_ml_systems_and_iot#colab-noteboks
https://github.com/noahgift/functional_intro_to_python#safari-online-training--essential-machine-learning-and-exploratory-data-analysis-with-python-and-jupyter-notebook
 
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