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Machine learning

Showing 1-16 of top 150 Results.

Case Studies in Intelligent ...
(Hardback)
Biju Issac; Nauman Israr
 
Although the field of intelligent systems has grown rapidly in recent years, there has been a need for a book that supplies a timely and accessible understanding of...
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Building Machine Learning Systems ...
(Paperback)
Willi Richert; Luis Pedro Coelho;...
 
This is a tutorial-driven and practical, but well-grounded book showcasing good Machine Learning practices. There will be an emphasis on using existing technologies...
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Non-Axiomatic Logic: A Model of...
(Hardback)
Pei Wang
 
This book provides a systematic and comprehensive description of Non-Axiomatic Logic, which is the result of the author's research for about three decades. ...
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Pattern Recognition and Machine Learning
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Christopher M. Bishop
This is the first textbook on pattern recognition to present the Bayesian viewpoint. It presents approximate inference algorithms that permit fast approximate answers in situations where exact answers are not...
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Computers Ltd: What They REALLY Can't Do
(Paperback)
David Harel
 
David Harel explains and illustrates one of the most fundamental, yet under-exposed facets of computers - their inherent limitations. He looks at the bad news that is proven, lasting...
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Fuzzy Logic for Beginners
(Paperback)
Masao Mukaidono
 
An introduction to fuzzy logic. It seeks to enable the reader to understand what fuzziness is and how one can apply fuzzy logic to real problems.
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Artificial Cognitive Systems: A Primer
(Hardback)
David Vernon
 
This book offers a concise and accessible introduction to the emerging field of artificial cognitive systems. Cognition, both natural and artificial, is about...
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Evolutionary Humanoid Robotics
(Paperback)
Malachy Eaton
 
This book examines how two distinct strands of research on autonomous robots, evolutionary robotics and humanoid robot research, are converging. The book will be...
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Springer Handbook of Computational...
(Hardback)
Janusz Kacprzyk; Witold Pedrycz
 
The Springer Handbook for Computational Intelligence is the first book covering the basics, the state-of-the-art and important applications of the dynamic and rapidly...
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Introduction to Machine Learning
(Hardback)
Ethem Alpaydin
 
The goal of machine learning is to program computers to use example data or past experience to solve a given problem. Many successful applications of machine learning...
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Statistical Reinforcement Learning:...
(Hardback)
Masashi Sugiyama; Hirotaka Hachiya;...
 
Reinforcement learning is a mathematical framework for developing computer agents that can learn an optimal behavior by relating generic reward signals with its past...
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Activity Learning: Discovering,...
(Hardback)
Diane J. Cook; Narayanan C. Krishnan
 
Defines the notion of an activity model learned from sensor data and presents key algorithms that form the core of the field Activity Learning: Discovering, Recognizing and Predicting Human...
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Practical Machine Learning: A New ...
(Paperback)
Ted Dunning; Ellen Friedman
 
This O'Reilly report uses practical example to explain how the underlying concepts of anomaly detection work.
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Machine Learning in Medicine - A...
(Hardback)
Ton J. Cleophas; Aeilko H. Zwinderman
 
The current book is the first publication of a complete overview of machine learning methodologies for the medical and health sector. It was written as a training...
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Smart Homes: Design, Implementation...
(Hardback)
Nagender Kumar Suryadevara; Subhas...
 
Smart Homes
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Big Data in Complex Systems:...
(Hardback)
Aboul-Ella Hassanien; Ahmad Taher...
 
Big Data in Complex Systems
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