[PDF.37ld] Empirical Methods for Artificial Intelligence (MIT Press)

Empirical Methods for Artificial Intelligence (MIT Press)

[PDF.ke04] Empirical Methods for Artificial Intelligence (MIT Press)

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 | #541144 in Books |  1995-08-03 | Ingredients: Example Ingredients | Original language:English | PDF # 1 |  9.00 x1.00 x8.00l,2.21 | File type: PDF | 422 pages

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||11 of 11 people found the following review helpful.| Excellent introduction to experimental science|By Mihailo Despotovic|The title of the book could have been easily "Empirical Methods for Computer Science" or even "Empirical Methods for Science."
The goal of the book is to give a gentle but solid introduction into empirical research, experimental science and interpretation of data.
First four chapters are really a m|About the Author|Paul Cohen is Professor in the Department of Computer Science at the University of Massachusetts at Amherst.

Computer science and artificial intelligence in particular have no curriculum in research methods, as other sciences do. This book presents empirical methods for studying complex computer programs: exploratory tools to help find patterns in data, experiment designs and hypothesis-testing tools to help data speak convincingly, and modeling tools to help explain data. Although many of these techniques are statistical, the book discusses statistics in the context of the ...

You easily download any file type for your device.Empirical Methods for Artificial Intelligence (MIT Press)   |  Paul R. Cohen. A good, fresh read, highly recommended.

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