Machine Learning and Artificial Intelligence - neues Buch

Buch in der Datenbank seit 2019-10-04T15:37:03+02:00 (Vienna)
Detailseite zuletzt geändert am 2023-05-10T21:45:42+02:00 (Vienna)
ISBN/EAN: 9783030266226

ISBN - alternative Schreibweisen:
978-3-030-26622-6
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: joshi
Titel des Buches: artificial intelligence

Daten vom Verlag:

Autor/in: Ameet V Joshi
Titel: Machine Learning and Artificial Intelligence
Verlag: Springer; Springer International Publishing
261 Seiten
Erscheinungsjahr: 2019-09-24
Cham; CH
Sprache: Englisch
85,59 € (DE)
88,00 € (AT)
94,50 CHF (CH)
Available
XXII, 261 p. 98 illus., 94 illus. in color.

EA; E107; eBook; Nonbooks, PBS / Technik/Elektronik, Elektrotechnik, Nachrichtentechnik; Nachrichtententechnik, Telekommunikation; Verstehen; Artificial Intelligence; ML Techniques; Modern perspective on AI and ML; AI reference; ML reference; AI and Machine Learning; B; Communications Engineering, Networks; Machine Learning; Computational Intelligence; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Data Analysis and Big Data; Engineering; Maschinelles Lernen; Künstliche Intelligenz; Data Mining; Wissensbasierte Systeme, Expertensysteme; Informationsrückgewinnung, Information Retrieval; Data Warehousing; Datenbanken; BB

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. 

The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible.

This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. 

The book is appropriate for students in graduate and upper undergraduate courses in addition to researchers and professionals. It makes minimal use of mathematics to make the topics more intuitive and accessible.