[PDF.25ns] Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems (Machine Learning Series)

Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems (Machine Learning Series)

[PDF.wx11] Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems (Machine Learning Series)

Computer Systems That Learn:  Sholom M. Weiss, Casimir A. Kulikowski epub
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 | #2433818 in Books |  Morgan Kaufmann |  1990-10-15 | Original language:English | PDF # 1 |  .97 x6.35 x9.31l, | File type: PDF | 223 pages

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||1 of 1 people found the following review helpful.| The best basic book on the subject|By Egor Ananev|I agree with another reviewer in the fact that this book contains many things that are omitted in the literature of this type - especially the basics, that are considered 'common sense' in the field. The authors of this book, however, realize that nothing is common sense in the scientific community, and the simplest of facts sho|From the Back Cover||This book is a practical guide to classification learning systems and their applications. These computer programs learn from sample data and make predictions for new cases, sometimes exceeding the performance of humans.||Practical learning

This book is a practical guide to classification learning systems and their applications. These computer programs learn from sample data and make predictions for new cases, sometimes exceeding the performance of humans.

Practical learning systems from statistical pattern recognition, neural networks, and machine learning are presented. The authors examine prominent methods from each area, using an engineering approach and taking the practitioner's viewpoi...

You can specify the type of files you want, for your gadget.Computer Systems That Learn: Classification and Prediction Methods from Statistics, Neural Nets, Machine Learning and Expert Systems (Machine Learning Series)   |  Sholom M. Weiss, Casimir A. Kulikowski.Not only was the story interesting, engaging and relatable, it also teaches lessons.

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