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| #1720267 in Books | Springer | 2007-02-15 | Ingredients: Example Ingredients | Original language:English | PDF # 1 | 9.57 x1.32 x6.38l,1.85 | File type: PDF | 525 pages | ||15 of 15 people found the following review helpful.| Good book for academic work|By John Hofmann|I'm sure this book is very helpful for academics who are doing work or research into sophisticated ways of extracting knowledge from data, but if this is something you are looking to do for a practical or professional reason, this book probably isn't for you. It's very detailed with in-depth mathematical explanations for everything|||From the reviews of the second edition: | |"One excellent feature of the second addition … . This is a particularly nice overview with excellent descriptions and numerous illustrations, most in color, for a wide variety of types of visualizations. " (E
This second and revised edition contains a detailed introduction to the key classes of intelligent data analysis methods. The twelve coherently written chapters by leading experts provide complete coverage of the core issues. The first half of the book is devoted to the discussion of classical statistical issues. The following chapters concentrate on machine learning and artificial intelligence, rule induction methods, neural networks, fuzzy logic, and stochastic search ...
You can specify the type of files you want, for your device.Intelligent Data Analysis | From Springer.Not only was the story interesting, engaging and relatable, it also teaches lessons.
