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Machine learning

Showing 1-16 of top 95 Results.

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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Machine Learning: A Probabilistic...
(Hardback)
Kevin P. Murphy
 
Today's Web-enabled deluge of electronic data calls for automated methods of data analysis. Machine learning provides these, developing methods that can automatically...
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Fundamentals of Adaptive Signal...
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Aurelio Uncini
 
Fundamentals of Adaptive Signal Processing
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Data-Driven Modeling & Scientific...
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J. Nathan Kutz
 
Combining scientific computing methods and algorithms with modern data analysis techniques, including basic applications of compressive sensing and machine learning, this book develops techniques that allow for the integration of...
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Scientific Computing with MATLAB and...
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Alfio Quarteroni; Fausto Saleri; ...
 
Scientific Computing with MATLAB and Octave
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Learning SPARQL
(Paperback)
Bob DuCharme
 
Get hands-on experience with SPARQL, the RDF query language. With this concise book, you will learn how to use the latest version of this W3C standard to retrieve and manipulate...
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The Computer and the Brain
(Paperback)
John Von Neumann; Ray Kurzweil
 
Explores the analogies between computing machines and the living human brain. This title shows that the brain operates both digitally and analogically, but also has its own unique statistical language.
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Feature Extraction & Image Processing...
(Paperback)
Mark Nixon; Alberto S. Aguado
 
A guide to the implementation of image processing and computer vision techniques, with tutorial introductions and sample code in Matlab. It includes developments in feature extraction, expanded tutorials and techniques...
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The Robotics Primer
(Paperback)
Maja J. Mataric
 
A broadly accessible introduction to robotics that spans the most basic concepts and the most novel applications; for students, teachers, and hobbyists.
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Programming Game AI by Example
(Paperback)
Mat Buckland
 
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The Emperor's New Mind: Concerning...
(Paperback)
Roger Penrose
 
In his bestselling work of popular science, Sir Roger Penrose takes us on a fascinating roller-coaster ride through the basic principles of physics, cosmology, mathematics, and philosophy to show that...
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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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The Sciences of the Artificial
(Paperback)
Herbert A. Simon
 
Continuing his exploration of the organization of complexity and the science of design, this new edition of Herbert Simon's classic work on artificial intelligence adds a chapter that sorts out...
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Pattern Recognition and Machine Learning
(Hardback)
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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Probabilistic Graphical Models:...
(Hardback)
Daphne Koller; Nir Friedman
A general framework for constructing and using probabilistic models of complex systems that would enable a computer to use available information for making decisions.
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Superintelligence: Paths, Dangers,...
(Hardback)
Nick Bostrom
 
This seminal book injects the topic of superintelligence into the academic and popular mainstream. What happens when machines surpass humans in general intelligence? Will artificial agents save or destroy us?...
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