Item type | Current location | Call number | Status | Date due | Barcode |
---|---|---|---|---|---|
Books | 006.312 ROD (Browse shelf) | Available | 032723 |
006.312 PHI Mathematical foundations for data analysis | 006.312 POU Natural hazards GIS-based spatial modeling using data mining techniques | 006.312 PRO Data science for business | 006.312 ROD Information-theoretic methods in data science | 006.312 ROG Advanced data science and analytics with python | 006.312 ROK Data mining with decision trees : theory and applications | 006.312 RUA Intelligent data mining : techniques and applications |
Includes bibliographical references and index.
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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