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Condition: As New. Unread book in perfect condition.
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Reliable Reasoning
Seller: Rarewaves.com USA, London, LONDO, United Kingdom
Seller rating 5 out of 5 stars
US$ 41.90
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Reliable Reasoning: Induction and Statistical Learning Theory (Jean Nicod Lectures)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Reliable Reasoning : Induction and Statistical Learning Theory
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Add to basketPaperback. Condition: Brand New. 120 pages. 7.50x5.10x0.50 inches. In Stock.
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An Elementary Introduction to Statistical Learning Theory (Wiley Series in Probability and Statistics)
Language: English
Published by John Wiley & Sons Inc, United States, New York, 2011
ISBN 10: 0470641835 ISBN 13: 9780470641835
Seller: WorldofBooks, Goring-By-Sea, WS, United Kingdom
Seller rating 5 out of 5 stars
Paperback. Condition: Very Good. A thought-provoking look at statistical learning theory and its role in understanding human learning and inductive reasoning A joint endeavor from leading researchers in the fields of philosophy and electrical engineering, An Elementary Introduction to Statistical Learning Theory is a comprehensive and accessible primer on the rapidly evolving fields of statistical pattern recognition and statistical learning theory. Explaining these areas at a level and in a way that is not often found in other books on the topic, the authors present the basic theory behind contemporary machine learning and uniquely utilize its foundations as a framework for philosophical thinking about inductive inference. Promoting the fundamental goal of statistical learning, knowing what is achievable and what is not, this book demonstrates the value of a systematic methodology when used along with the needed techniques for evaluating the performance of a learning system. First, an introduction to machine learning is presented that includes brief discussions of applications such as image recognition, speech recognition, medical diagnostics, and statistical arbitrage. To enhance accessibility, two chapters on relevant aspects of probability theory are provided. Subsequent chapters feature coverage of topics such as the pattern recognition problem, optimal Bayes decision rule, the nearest neighbor rule, kernel rules, neural networks, support vector machines, and boosting. Appendices throughout the book explore the relationship between the discussed material and related topics from mathematics, philosophy, psychology, and statistics, drawing insightful connections between problems in these areas and statistical learning theory. All chapters conclude with a summary section, a set of practice questions, and a reference sections that supplies historical notes and additional resources for further study. An Elementary Introduction to Statistical Learning Theory is an excellent book for courses on statistical learning theory, pattern recognition, and machine learning at the upper-undergraduate and graduatelevels. It also serves as an introductory reference for researchers and practitioners in the fields of engineering, computer science, philosophy, and cognitive science that would like to further their knowledge of the topic. The book has been read, but is in excellent condition. Pages are intact and not marred by notes or highlighting. The spine remains undamaged.
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Reliable Reasoning : Induction and Statistical Learning Theory
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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An Elementary Introduction to Statistical Learning Theory (Wiley Series in Probability and Statistics)
Seller: Bay State Book Company, North Smithfield, RI, U.S.A.
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Financial Signal Processing and Machine Learning
Language: English
Published by Wiley & Sons, Incorporated, John, 2016
ISBN 10: 1118745671 ISBN 13: 9781118745670
Condition: Very Good. Pages intact with possible writing/highlighting. Binding strong with minor wear. Dust jackets/supplements may not be included. Stock photo provided. Product includes identifying sticker. Better World Books: Buy Books. Do Good.
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Condition: New. Gilbert Harman is Stuart Professor of Philosophy at Princeton University and the author of Explaining Value and Other Essays in Moral Philosophy and Reasoning, Meaning, and Mind.Sanjeev Kulkarni is Professor of Electrical Engineering a.
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Condition: good. Fast Free Shipping â" Good condition. It may show normal signs of use, such as light writing, highlighting, or library markings, but all pages are intact and the book is fully readable. A solid, complete copy that's ready to enjoy.
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An Elementary Introduction to Statistical Learning Theory
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Add to basketCondition: Fair. Condition: Fair | Pages: 234 | Language: English | Product Type: Books.
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An Elementary Introduction to Statistical Learning Theory
Seller: Buchpark, Maidenhead, Berkshire, United Kingdom
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Add to basketCondition: Fine. Condition: Fine | Pages: 234 | Language: English | Product Type: Books.
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Condition: very_good. Book is in very good condition and may include minimal underlining highlighting. The book can also include "From the library of" labels. May not contain miscellaneous items toys, dvds, etc. . We offer 100% money back guarantee and 24 7 customer service.
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Financial Signal Processing and Machine Learning
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Add to basketHRD. Condition: New. New Book. Shipped from UK. Established seller since 2000.
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Condition: New.
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Condition: New.
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Financial Signal Processing and Machine Learning (IEEE Press)
Seller: Ria Christie Collections, Uxbridge, United Kingdom
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Financial Signal Processing and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
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Add to basketCondition: New. pp. 232.
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Condition: New. pp. 232 Index.
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Condition: As New. Unread book in perfect condition.
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Financial Signal Processing and Machine Learning
Seller: GreatBookPricesUK, Woodford Green, United Kingdom
Seller rating 5 out of 5 stars
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Add to basketCondition: As New. Unread book in perfect condition.
