[PDF.46pi] Evaluating Learning Algorithms: A Classification Perspective

Evaluating Learning Algorithms: A Classification Perspective

[PDF.qp47] Evaluating Learning Algorithms: A Classification Perspective

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 | #777014 in eBooks |  2011-01-17 |  2011-01-17 | File type: PDF

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||3 of 3 people found the following review helpful.| must me a mandatory book for all researchers who use learning algorithms|By Mark Grechanik|This book is long overdue - learning algorithms are widely used in different areas of computer science, and in many cases these algorithms are not properly evaluated. As a result, we see exaggerated claims that lead readers to believe that using certain learning algorithms solves all prob| |"This treasure-trove of a book covers the important topic of performance evaluation of machine learning algorithms in a very comprehensive and lucid fashion. As Japkowicz and Shah point out, performance evaluation is too often a formulaic affair in machine lea

The field of machine learning has matured to the point where many sophisticated learning approaches can be applied to practical applications. Thus it is of critical importance that researchers have the proper tools to evaluate learning approaches and understand the underlying issues. This book examines various aspects of the evaluation process with an emphasis on classification algorithms. The authors describe several techniques for classifier performance assessment, err...

You can specify the type of files you want, for your gadget.Evaluating Learning Algorithms: A Classification Perspective   |  Nathalie Japkowicz, Mohak Shah. I really enjoyed this book and have already told so many people about it!

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