Intelligent Techniques for Data Science
Rajendra Akerkar
€ 98.19
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Description for Intelligent Techniques for Data Science
Hardback. Num Pages: 288 pages, 64 black & white illustrations, 57 colour illustrations, biography. BIC Classification: UYQ. Category: (G) General (US: Trade). Dimension: 167 x 241 x 24. Weight in Grams: 590.
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 ... Read more
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 ... Read more
Product Details
Publisher
Springer International Publishing AG
Format
Hardback
Publication date
2016
Condition
New
Weight
589g
Number of Pages
272
Place of Publication
Cham, Switzerland
ISBN
9783319292052
SKU
V9783319292052
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
About Rajendra Akerkar
Rajendra Akerkar is a professor of information technology at Western Norway Research Institute, Norway. He has 23 years of research and teaching experience in artificial intelligent systems, semantic technologies and big data science. His recent research focuses on real world use of big data, and social media analysis in a wide set of semantic dimensions. He has held senior positions ... Read more
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