Python and machine learning. Machine and deep training using Python, Scikit-Learn
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Machine training absorbs the world of software. Detachment and work with advanced machine learning technologies, neural networks and deep learning using the 2nd edition of the bestseller Sebastian Rashka.
Being thoroughly updated taking into account the latest open code technologies, including libraries such as Scikit-Learn, Keras and Tensorflow, this book offers practical knowledge and techniques that are necessary to create effective application and deep learning in Python . The authors of the book, Sebastian Rashka and Wahid Mirjalili, who have unique insight and knowledge of the matter, will familiarize you with the algorithms of machine learning and deep learning and will gradually lead you to difficult topics in data analysis. The book proposes a combination of theoretical principles of machine learning with a practical approach to writing code for a complete understanding of the theory of machine learning and implementation using Python
Being thoroughly updated taking into account the latest open code technologies, including libraries such as Scikit-Learn, Keras and Tensorflow, this book offers practical knowledge and techniques that are necessary to create effective application and deep learning in Python . The authors of the book, Sebastian Rashka and Wahid Mirjalili, who have unique insight and knowledge of the matter, will familiarize you with the algorithms of machine learning and deep learning and will gradually lead you to difficult topics in data analysis. The book proposes a combination of theoretical principles of machine learning with a practical approach to writing code for a complete understanding of the theory of machine learning and implementation using Python
Author:
Author:Rashka Sebastyan , Mirjalili Vakhid
Cover:
Cover:Hard
Category:
- Category:Computer & Technology
Publication language:
Publication Language:Russian
Paper:
Paper:Offset
ISBN:
ISBN:978-5-907203-57-0
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