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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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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es concepts, as well as practical usage.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 infrastructu

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Examples of Analytics in the Cloud MapReduce with an introduction of Hadoop will be examined. Lastly, practical examples of cloud-based AI and ML services will be presented. We will wrap up the chapter with future possibilities of using reinforced learning.

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Cloud Computing Conceptsor conducting AI and ML in cloud. It will include a workflow for creating an ML model, with some real-life examples. We wrap up this chapter by looking at the future trends that include targeted hardware.

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Machine Learning Conceptse will introduce the basic concept of machine learning. We will cover various paradigms of learning and applications of machine learning. Next, we will cover the justification of using machine learning and various tasks where machine learning is used. In the end, we discuss about various tools used.

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