Intelligent Techniques for Data Science (Hardcover, 1st ed. 2016)

This textbook provides readers with the tools, techniques and cases required to excel with modern artificial intelligence methods. These embrace the family of neural networks, fuzzy systems and evolutionary computing in addition to other fields within machine learning, and will help in identifying, visualizing, classifying and analyzing data to support business decisions./p> The authors, discuss advantages and drawbacks of different approaches, and present a sound foundation for the reader to design and implement data analytic solutions for real-world applications in an intelligent manner. Intelligent Techniques for Data Science also provides real-world cases of extracting value from data in various domains such as retail, health, aviation, telecommunication and tourism.

General

Imprint:	Springer International Publishing AG
Country of origin:	Switzerland
Release date:	October 2016
First published:	2016
Authors:	Rajendra Akerkar • Priti Srinivas Sajja
Dimensions:	235 x 155 x 24mm (L x W x T)
Format:	Hardcover
Pages:	272
Edition:	1st ed. 2016
ISBN-13:	978-3-319-29205-2
Categories:	Books > Computing & IT > Applications of computing > Artificial intelligence > General
LSN:	3-319-29205-6
Barcode:	9783319292052

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