Cloud Computing for Machine Learning and Cognitive Applications: A Comprehensive Guide by MIT Press

CloudComputingforMachineLearningandCognitiveApplicationsMITPressdownloadpdf

• the book is divided into five parts, each covering a specific aspect of the cloud computing infrastructure. part 1: understanding cloud computing

• part 2: cloud computing architecture

• part 3: cloud computing interactions

• part 4: cloud computing infrastructure

• part 5: cloud computing standards and implementation

in this book, the authors present a detailed view of the challenges and requirements of the cloud-computing infrastructure that developers need to consider. they provide information about the infrastructure providers like amazon, google, rackspace and windows azure. they also explain the core concepts of cloud computing, various components of the infrastructure, and the interactions of cloud computing with other systems.

based on the understanding of the concept, the authors also cover the standards and platforms used in cloud computing like soa (service oriented architecture), rest (representational state transfer), soap, uml, etc.

the book is designed for developers who have some familiarity with the basics of object oriented design. they will also find information about the services offered by the various cloud computing providers.

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