Intelligent Techniques for Data Science / / by Rajendra Akerkar, Priti Srinivas Sajja

• Autore: Akerkar Rajendra
• Pubblicazione: Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
• Edizione: 1st ed. 2016.
• Descrizione fisica: 1 online resource (XVI, 272 p. 121 illus., 57 illus. in color.)
• Disciplina: 006.312
• Soggetto topico: Data mining; Artificial intelligence; Knowledge management; Data Mining and Knowledge Discovery; Artificial Intelligence; Knowledge Management
• Persona (resp. second.): SajjaPriti Srinivas
• Nota di bibliografia: Includes bibliographical references.
• Nota di contenuto: 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.
• Sommario/riassunto: 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 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.
• Titolo autorizzato: Intelligent Techniques for Data Science
• ISBN: 3-319-29206-4
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910255012203321
• Lo trovi qui: Univ. Federico II