Basics of working with machine learning and deep learning models. Educational guide
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The necessary tools for software and mathematical development of applied machine learning and deep learning models are presented. Basic principles and aspects that the field of Data Science operates on are shown. An introductory overview of the theoretical component of the course is given, and for each machine/deep learning model discussed, its practical implementation is provided.
For students studying in the field of 'Artificial Intelligence'. It may be useful for specialists in the field of artificial intelligence.
For students studying in the field of 'Artificial Intelligence'. It may be useful for specialists in the field of artificial intelligence.
Author:
Author:Pylov Petr Andreevich
Cover:
Cover:hardcover
Category:
- Category:Computer & Technology
- Category:Education & Teaching
Dimensions:
Dimensions:21.7x15.3x1.8 cm
ISBN:
ISBN:978-5-9729-1547-7
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