This book provides an introduction to machine learning, security and cloud computing, 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.
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This book provides an introduction to machine learning, security and cloud computing, 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.
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Add this copy of Introduction to Machine Learning with Security: Theory to cart. $51.65, new condition, Sold by Ingram Customer Returns Center rated 5.0 out of 5 stars, ships from NV, USA, published 2024 by Springer International Publishing AG.
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New. Contains: Illustrations, black & white, Illustrations, color. Synthesis Lectures on Engineering, Science, and Technology . XXVIII, 492 p. 378 illus., 243 illus. in color. Intended for professional and scholarly audience.
Add this copy of Introduction to Machine Learning With Security: Theory to cart. $86.63, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2024 by Springer.
Add this copy of Introduction to Machine Learning With Security: Theory to cart. $127.51, new condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2024 by Springer.
