Language: English
Published by Wayne State University Press, 2004
ISBN 10: 081433153X ISBN 13: 9780814331538
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Language: English
Published by Wayne State University Press, 2004
ISBN 10: 081433153X ISBN 13: 9780814331538
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Language: English
Published by Wayne State University Press, 2004
ISBN 10: 081433153X ISBN 13: 9780814331538
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Language: English
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031044193 ISBN 13: 9783031044199
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Add to basketHardback. Condition: New. 2022 ed.
Language: English
Published by Wayne State University Press, 2004
ISBN 10: 081433153X ISBN 13: 9780814331538
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Condition: New. This is a Brand-new US Edition. This Item may be shipped from US or any other country as we have multiple locations worldwide.
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Condition: New. 1st ed. 2022 edition NO-PA16APR2015-KAP.
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Published by Springer-Nature New York Inc, 2023
ISBN 10: 3031044223 ISBN 13: 9783031044229
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Published by Springer International Publishing, 2023
ISBN 10: 3031044223 ISBN 13: 9783031044229
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Taschenbuch. Condition: Neu. Druck auf Anfrage Neuware - Printed after ordering - 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.
Language: English
Published by Springer International Publishing AG, CH, 2022
ISBN 10: 3031044193 ISBN 13: 9783031044199
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Add to basketHardback. Condition: New. 2022 ed. 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.