Intelligent Techniques for Data Science

• Κύριοι συγγραφείς: Akerkar, Rajendra (Συγγραφέας), Sajja, Priti Srinivas (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2016.
• Θέματα: 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,...

Πίνακας περιεχομένων:

• 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.