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Titlebook: Introduction to Machine Learning in the Cloud with Python; Concepts and Practic Pramod Gupta,Naresh K. Sehgal Book 20211st edition The Edit

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書目名稱Introduction to Machine Learning in the Cloud with Python
副標(biāo)題Concepts and Practic
編輯Pramod Gupta,Naresh K. Sehgal
視頻videohttp://file.papertrans.cn/474/473852/473852.mp4
概述Provides broad coverage of AI, Machine Learning and Cloud Computing.Uses real examples and case studies to demonstrate key topics.Demonstrates concepts, as well as practical usage
圖書封面Titlebook: Introduction to Machine Learning in the Cloud with Python; Concepts and Practic Pramod Gupta,Naresh K. Sehgal Book 20211st edition The Edit
描述.This book provides an introduction to machine learning and cloud computing, both from a conceptual level, along with their usage with underlying infrastructure. The authors emphasize fundamentals and best practices for using AI?and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.??.
出版日期Book 20211st edition
關(guān)鍵詞Machine Learning textbook; Cloud computing textbook; Pattern Recognition and Machine Learning; Deep Lea
版次1
doihttps://doi.org/10.1007/978-3-030-71270-9
isbn_softcover978-3-030-71272-3
isbn_ebook978-3-030-71270-9
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

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Book 20211st editionastructure. The authors emphasize fundamentals and best practices for using AI?and ML in a dynamic infrastructure with cloud computing and high security, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and case studies.??.
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Deep Learning and Cloud ComputingIn this chapter, we introduce the concept of deep learning, and various deep learning architectures are covered. Difference between machine learning and deep learning is discussed. Justification for using DL is covered. Popular software and platform for deep learning are explored.
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https://doi.org/10.1007/978-3-030-71270-9Machine Learning textbook; Cloud computing textbook; Pattern Recognition and Machine Learning; Deep Lea
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