Applied deep learning : tools, techniques, and implementation / Paul Fergus, Carl Chalmers.
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 p...
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| Main Authors: | , |
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| Format: | Ebook |
| Language: | English |
| Published: |
Cham :
Springer,
[2022]
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| Series: | Computational intelligence methods and applications.
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| Subjects: | |
| Online Access: | Springer eBooks |
| Summary: | 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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| Physical Description: | 1 online resource (xxvii, 341 pages). |
| Bibliography: | Includes bibliographical references. |
| ISBN: | 3031044193 9783031044199 3031044207 9783031044205 |