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.