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Books > Computing & IT > Applications of computing > Artificial intelligence > Machine learning
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Machine Learning Paradigms - Advances in Data Analytics (Hardcover, 1st ed. 2019)
Loot Price: R5,311
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Machine Learning Paradigms - Advances in Data Analytics (Hardcover, 1st ed. 2019)
Series: Intelligent Systems Reference Library, 149
Expected to ship within 10 - 15 working days
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This book explores some of the emerging scientific and
technological areas in which the need for data analytics arises and
is likely to play a significant role in the years to come. At the
dawn of the 4th Industrial Revolution, data analytics is emerging
as a force that drives towards dramatic changes in our daily lives,
the workplace and human relationships. Synergies between physical,
digital, biological and energy sciences and technologies, brought
together by non-traditional data collection and analysis, drive the
digital economy at all levels and offer new, previously-unavailable
opportunities. The need for data analytics arises in most modern
scientific disciplines, including engineering; natural-, computer-
and information sciences; economics; business; commerce;
environment; healthcare; and life sciences. Coming as the third
volume under the general title MACHINE LEARNING PARADIGMS, the book
includes an editorial note (Chapter 1) and an additional 12
chapters, and is divided into five parts: (1) Data Analytics in the
Medical, Biological and Signal Sciences, (2) Data Analytics in
Social Studies and Social Interactions, (3) Data Analytics in
Traffic, Computer and Power Networks, (4) Data Analytics for
Digital Forensics, and (5) Theoretical Advances and Tools for Data
Analytics. This research book is intended for both
experts/researchers in the field of data analytics, and readers
working in the fields of artificial and computational intelligence
as well as computer science in general who wish to learn more about
the field of data analytics and its applications. An extensive list
of bibliographic references at the end of each chapter guides
readers to probe further into the application areas of interest to
them.
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