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Machine learning

Showing 1-16 of top 150 Results.

Superintelligence: Paths, Dangers,...
(Paperback)
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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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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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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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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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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Bayesian Reasoning and Machine Learning
(Hardback)
David Barber
 
A practical introduction perfect for final-year undergraduate and graduate students without a solid background in linear algebra and calculus.
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The Technological Singularity
(Paperback)
Murray Shanahan
 
The idea that human history is approaching a "singularity" -- that ordinary humans will someday be overtaken by artificially intelligent machines or cognitively...
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Understanding Machine Learning: From...
(Hardback)
Shai Shalev-Shwartz; Shai Ben-David
 
Introduces machine learning and its algorithmic paradigms, explaining the principles behind automated learning approaches and the considerations underlying their usage.
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Thoughtful Machine Learning: A...
(Paperback)
Matthew Kirk
 
In this practical guide, author Matthew Kirk takes you through the principles of TDD and machine learning, and shows you how to apply TDD to several machine-learning algorithms, including Naive...
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Machine Learning: An Algorithmic...
(Books & other media combined)
Stephen Marsland
 
A Proven, Hands-On Approach for Students without a Strong Statistical Foundation Since the best-selling first edition was published, there have been several prominent...
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RDF Database Systems: Triples Storage...
(Paperback)
Olivier Cur; Guillaume Blin
 
RDF Database Systems is a cutting-edge guide that distills everything you need to know to effectively use or design an RDF database. This book starts with the basics ...
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The Elements of Statistical Learning:...
(Hardback)
Trevor Hastie; Robert Tibshirani;...
 
This major new edition features many topics not covered in the original, including graphical models, random forests, and ensemble methods. As before, it covers the conceptual framework for statistical data...
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Fundamentals of Machine Learning for...
(Hardback)
John D. Kelleher; Brian Mac Namee;...
 
Machine learning is often used to build predictive models by extracting patterns from large datasets. These models are used in predictive data analytics applications...
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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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The Intelligent Web: Search, Smart...
(Hardback)
Gautam Shroff
 
Early hopes for Artificial Intelligence soon evaporated. But, driven by the need for smarter searching and advert placing, increasingly sophisticated algorithms, combined with the sheer amount of data on the...
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