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

Jeff Heaton




[PDF.bh97] Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms

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 | #198990 in Books |  2014-05-28 | Original language:English | PDF # 1 |  9.25 x.55 x7.50l,.0 | File type: PDF | 242 pages

||3 of 5 people found the following review helpful.| Another good one.|By Kristoph Reign|Haven't made it all the way through this yet, but figured I'd leave a review. The foreword states that you can read these books in any order. The author makes these topics interesting so I feel like it's all worth a read even if you're not interested in things like genetic algorithms.|5 of 5 people found the following review helpful.|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 gadget.Artificial Intelligence for Humans, Volume 2: Nature-Inspired Algorithms   |  Jeff Heaton. I really enjoyed this book and have already told so many people about it!

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