Intelligent Techniques for Data Science

• Main Authors: Akerkar, Rajendra (Author), Sajja, Priti Srinivas (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Subjects: Computer science.; Knowledge management.; Data mining.; Artificial intelligence.; Computer Science.; Data Mining and Knowledge Discovery.; Artificial Intelligence (incl. Robotics).; Knowledge Management.

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,...

Table of Contents:

• Preface
• Introduction
• Data Analytics
• Basic Learning Algorithms
• Fuzzy Logic
• Artificial Neural Networks
• Genetic Algorithms and Evolutionary Computing
• Other Metaheuristics and Classification Approaches
• Analytics and Big Data
• Data Analytics Using R
• Appendix I: Tools for Data Science
• Appendix II: Tools for Computational Intelligence.