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Applied Deep Learning: Tools, Techniques, and Implementation (Computational Intelligence Methods and Applications) - Hardcover

Fergus, Paul; Chalmers, Carl

 
9783031044199: Applied Deep Learning: Tools, Techniques, and Implementation (Computational Intelligence Methods and Applications)
Hardcover
ISBN 10: 3031044193 ISBN 13: 9783031044199
Verlag: Springer, 2022

Inhaltsangabe

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.

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Über die Autorin bzw. den Autor

Prof. Paul Fergus is a Professor in Machine Learning and Dr. Carl Chambers is a Senior Lecturer in the Dept. of Computer Science of Liverpool John Moores University. Their teaching responsibilities include Machine Learning and Data Science. Their research interest includes Applied Machine Learning, Computer Vision, Signal Processing, and Pattern Recognition.

Von der hinteren Coverseite

This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies. The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies. It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks. The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.

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Verlag
Springer
Erscheinungsdatum
2022
Sprache
Englisch
ISBN 10 
3031044193
ISBN 13 
9783031044199
Einband
Gebundene Ausgabe
Auflage
1
Anzahl der Seiten
368
Kontakt zum Hersteller
Nicht verfügbar
Verantwortliche Person
Nicht verfügbar