Akerkar R., Sajja P.S. Intelligent Techniques for Data Science

Springer, 2016. — 282 p. — ISBN: 3319292056, 9783319292052Authors: Akerkar, Rajendra, Sajja, Priti SrinivasFocuses on methods significantly beneficial in data science, and clearly describes them at an introductory level, with extensions to selected intermediate and advanced techniques
Reinforces the machine learning principles with necessary demonstrations in the field of data science
Integrates illustrations, cases and examples to support pedagogical exposition
Equips readers with the necessary information to obtain handson experience of data scienceAbout this Textbook
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 realworld 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.