Machine Learning and Artificial Intelligence

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Adı:
Machine Learning and Artificial Intelligence
Baskı tarihi:
24 Eylül 2019
Sayfa sayısı:
261
Format:
E-kitap
ISBN:
B07YCWF21F
Dil:
İngilizce
Yayınevi:
Springer Publishing
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.

Presents 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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Kitabın basım bilgileri

Adı:
Machine Learning and Artificial Intelligence
Baskı tarihi:
24 Eylül 2019
Sayfa sayısı:
261
Format:
E-kitap
ISBN:
B07YCWF21F
Dil:
İngilizce
Yayınevi:
Springer Publishing
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.

Presents 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.

Kitap istatistikleri