Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Emerging Paradigms in Machine Learning (Hardcover, 2013 ed.)
Loot Price: R3,060
Discovery Miles 30 600
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Emerging Paradigms in Machine Learning (Hardcover, 2013 ed.)
Series: Smart Innovation, Systems and Technologies, 13
Expected to ship within 10 - 15 working days
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This book presents fundamental topics and algorithms that form the
core of machine learning (ML) research, as well as emerging
paradigms in intelligent system design. The multidisciplinary
nature of machine learning makes it a very fascinating and popular
area for research. The book is aiming at students, practitioners
and researchers and captures the diversity and richness of the
field of machine learning and intelligent systems. Several chapters
are devoted to computational learning models such as granular
computing, rough sets and fuzzy sets An account of applications of
well-known learning methods in biometrics, computational
stylistics, multi-agent systems, spam classification including an
extremely well-written survey on Bayesian networks shed light on
the strengths and weaknesses of the methods. Practical studies
yielding insight into challenging problems such as learning from
incomplete and imbalanced data, pattern recognition of stochastic
episodic events and on-line mining of non-stationary data streams
are a key part of this book.
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