Gupta, Pramod.
Introduction to Machine Learning in the Cloud with Python Concepts and Practices / [electronic resource] : by Pramod Gupta, Naresh K. Sehgal. - 1st ed. 2021. - XIX, 284 p. 158 illus., 146 illus. in color. online resource.
Introduction to Machine Learning -- Foundations of Machine Learning -- Deep Learning and cloud computing -- Cloud Computing Concepts -- Practical Aspects in Machine Learning -- Artificial Intelligence and Information Security -- Examples of Analytics in the Cloud -- A case study of Data Collection and Analytics in the Cloud -- Future trends in Hardware based AI and ML.
This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies. 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.
9783030712709
10.1007/978-3-030-71270-9 doi
Cooperating objects (Computer systems).
Machine learning.
Cloud Computing.
Cyber-Physical Systems.
Machine Learning.
Cloud Computing.
TK7895.E42 TK5105.8857
621.38
Introduction to Machine Learning in the Cloud with Python Concepts and Practices / [electronic resource] : by Pramod Gupta, Naresh K. Sehgal. - 1st ed. 2021. - XIX, 284 p. 158 illus., 146 illus. in color. online resource.
Introduction to Machine Learning -- Foundations of Machine Learning -- Deep Learning and cloud computing -- Cloud Computing Concepts -- Practical Aspects in Machine Learning -- Artificial Intelligence and Information Security -- Examples of Analytics in the Cloud -- A case study of Data Collection and Analytics in the Cloud -- Future trends in Hardware based AI and ML.
This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies. 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.
9783030712709
10.1007/978-3-030-71270-9 doi
Cooperating objects (Computer systems).
Machine learning.
Cloud Computing.
Cyber-Physical Systems.
Machine Learning.
Cloud Computing.
TK7895.E42 TK5105.8857
621.38