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2020, ISBN: 9783030266240
[ED: Softcover], [PU: Springer / Springer International Publishing / Springer, Berlin], This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Lear… Mehr…
2020, ISBN: 9783030266240
[ED: Softcover], [PU: Springer / Springer International Publishing / Springer, Berlin], This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Lear… Mehr…
2020
ISBN: 3030266249
[EAN: 9783030266240], Neubuch, [SC: 0.0], [PU: Springer International Publishing], ARTIFICIALINTELLIGENCE; MLTECHNIQUES; MODERNPERSPECTIVEONAIANDML; AIREFERENCE; MLREFERENCE; AIANDMACHINE… Mehr…
2020, ISBN: 3030266249
1st ed. 2020 Kartoniert / Broschiert Nachrichtententechnik, Telekommunikation, Datenbanken, Data Warehousing, Data Mining, Informationsrückgewinnung, Information Retrieval, Künstliche I… Mehr…
2020, ISBN: 3030266249
Machine Learning and Artificial Intelligence ab 74.99 € als Taschenbuch: 1st ed. 2020. Aus dem Bereich: Bücher, Taschenbücher, Naturwissenschaft, Springer International Publishing
Bibliographische Daten des bestpassenden Buches
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Detailangaben zum Buch - Machine Learning and Artificial Intelligence
EAN (ISBN-13): 9783030266240
ISBN (ISBN-10): 3030266249
Taschenbuch
Erscheinungsjahr: 2020
Herausgeber: Springer
Buch in der Datenbank seit 2020-10-26T23:41:45+01:00 (Vienna)
Detailseite zuletzt geändert am 2024-01-28T12:58:05+01:00 (Vienna)
ISBN/EAN: 3030266249
ISBN - alternative Schreibweisen:
3-030-26624-9, 978-3-030-26624-0
Alternative Schreibweisen und verwandte Suchbegriffe:
Autor des Buches: joshi
Daten vom Verlag:
Autor/in: Ameet V Joshi
Titel: Machine Learning and Artificial Intelligence
Verlag: Springer; Springer International Publishing
261 Seiten
Erscheinungsjahr: 2020-10-07
Cham; CH
Gedruckt / Hergestellt in Niederlande.
Sprache: Englisch
85,59 € (DE)
87,99 € (AT)
94,50 CHF (CH)
POD
XXII, 261 p. 98 illus., 94 illus. in color.
BC; Hardcover, Softcover / 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; Communications Engineering, Networks; Machine Learning; Computational Intelligence; Data Mining and Knowledge Discovery; Information Storage and Retrieval; Data Analysis and Big Data; 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.
is not very mathematically intensive, which makes it easier to read. Overall, its language is very easy to follow. Each chapter has introduction and conclusion sections, and many helpful figures explain the concepts.” (Computing Reviews)
Machine Learning and Artificial IntelligencePresents a full reference to artificial intelligence and machine learning techniques - in theory and application Provides a guide to AI and ML with minimal use of mathematics to make the topics more intuitive and accessible Connects all ML and AI techniques to applications and introduces implementations
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