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.
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 illustrates examples of handling data in
various domains such as business analytics, health analytics, and social
analytics.
- ISBN: 978-3-319-29205-2
- Editorial: Springer
- Encuadernacion: Cartoné
- Páginas: 340
- Fecha Publicación: 15/09/2016
- Nº Volúmenes: 1
- Idioma: Inglés