Intelligent Techniques for Data Science

Nonfiction, Computers, Advanced Computing, Artificial Intelligence, Database Management, General Computing
Cover of the book Intelligent Techniques for Data Science by Rajendra Akerkar, Priti Srinivas Sajja, Springer International Publishing
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Author: Rajendra Akerkar, Priti Srinivas Sajja ISBN: 9783319292069
Publisher: Springer International Publishing Publication: October 11, 2016
Imprint: Springer Language: English
Author: Rajendra Akerkar, Priti Srinivas Sajja
ISBN: 9783319292069
Publisher: Springer International Publishing
Publication: October 11, 2016
Imprint: Springer
Language: English

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.

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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.

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