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I am not a mathematician but want to dive into AI. I did a search on Amazon and like tens of thousands of books appeared on the shelf (well, almost).
Which one should I pick as a AI beginner with not much mathematical knowledge? I mean I don't want a book that explains everything by formulas only. I had one like that a few years ago and stopped thinking about AI.
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“Artificial Intelligence For Dummies (2nd Edition)” This book is a non-technical introduction to the world of AI and covers how to distinguish AI hype from reality, how algorithms learn and work, the role of data in AI, and practical examples of AI in action.
As machines become increasingly capable, tasks considered to require "intelligence" are often removed from the definition of AI, a phenomenon known as the AI effect. For instance, optical character recognition is frequently excluded from things considered to be AI, having become a routine technology.
Source. Linear Algebra is the primary mathematical computation tool in Artificial Intelligence and in many other areas of Science and Engineering. With this field, you need to understand 4 primary mathematical objects and their properties: Scalars — a single number (can be real or natural).
Russel and Norvig is the canonical one.
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I bought this book 2 years ago when I wanted to start learn about AI:
Artificial Intelligence: A Beginner's Guide (Beginners Guide), by Blay Whitby
It's very basic and everything is explained in a way anyone can relate to. Also it's not a lot to read. A good place to start out to learn the basic concepts.
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