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Information-Theoretic Methods in Data Science (Hardcover)
Loot Price: R2,426
Discovery Miles 24 260
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Information-Theoretic Methods in Data Science (Hardcover)
Expected to ship within 12 - 17 working days
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Learn about the state-of-the-art at the interface between
information theory and data science with this first unified
treatment of the subject. Written by leading experts in a clear,
tutorial style, and using consistent notation and definitions
throughout, it shows how information-theoretic methods are being
used in data acquisition, data representation, data analysis, and
statistics and machine learning. Coverage is broad, with chapters
on signal acquisition, data compression, compressive sensing, data
communication, representation learning, emerging topics in
statistics, and much more. Each chapter includes a topic overview,
definition of the key problems, emerging and open problems, and an
extensive reference list, allowing readers to develop in-depth
knowledge and understanding. Providing a thorough survey of the
current research area and cutting-edge trends, this is essential
reading for graduate students and researchers working in
information theory, signal processing, machine learning, and
statistics.
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