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Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms

Jeff Heaton




[PDF.nr38] Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms

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 | #323489 in Books |  2014-05-28 | Original language:English | PDF # 1 |  9.25 x.55 x7.50l,.0 | File type: PDF | 242 pages

||3 of 3 people found the following review helpful.| Great for understanding AI terms and concepts without a math background|By Philip|I really like this series. I read Artificial Intelligence for Humans, Volume 1 and then ordered volumes 2 and 3. What I like about this series is the same thing I like about Volume 2, that it's very readable. For someone without a math background, and limited programming prowess, I can understa|About the Author|Jeff Heaton, PhD, is a data scientist and indy publisher. Specializing in Python, R, Java and C#, he is an active technology blogger, open source contributor, and author of more than ten books. His areas of expertise include predictive modeling

Nature can be a great source of inspiration for artificial intelligence algorithms because its technology is considerably more advanced than our own. Among its wonders are strong AI, nanotechnology, and advanced robotics. Nature can therefore serve as a guide for real-life problem solving. In this book, you will encounter algorithms influenced by ants, bees, genomes, birds, and cells that provide practical methods for many types of AI situations. Although nature is t...

You easily download any file type for your device.Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms   |  Jeff Heaton.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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