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Can I read Hands-On Machine Learning with Azure : Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence on EtoBox?
Hands-On Machine Learning with Azure : Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence by Parashar Shah, Thomas K Abraham, Lauri Lehman is a science book available to read on EtoBox.
What is Hands-On Machine Learning with Azure : Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence about?
Implement machine learning, cognitive services, and artificial intelligence solutions by leveraging Azure cloud technologies Key Features Learn advanced concepts in Azure ML and the Cortana Intelligence Suite architecture Explore ML Server using SQL Server and HDInsight capabilities Implement various tools in Azure to build and deploy machine learning models Book Description Implementing Machine learning (ML) and Artificial Intelligence (AI) in the cloud had not been possible earlier due to the lack of processing power and storage. However, Azure has created ML and AI services that are easy to implement in the cloud. Hands-On Machine Learning with Azure teaches you how to perform advanced ML projects in the cloud in a cost-effective way. The book begins by covering the benefits of ML and AI in the cloud. You will then explore Microsoft’s Team Data Science Process to establish a repeatable process for successful AI development and implementation. You will also gain an understanding of AI technologies available in Azure and the Cognitive Services APIs to integrate them into bot applications. This book lets you explore prebuilt templates with Azure Machine Learn
Who reads Hands-On Machine Learning with Azure : Build Powerful Models with Cognitive Machine Learning and Artificial Intelligence?
It is typically read by self-directed learners exploring a subject in depth.
Common subject areas: history, science, philosophy, social sciences.
- Author
- Parashar Shah, Thomas K Abraham, Lauri Lehman
- Publisher
- Packt Publishing Limited
- Published
- 2018
- Language
- EN
- ISBN
- 9781789131956
- Category
- science
- Subjects
- Computer Science, Science, Stem
- Rating
- 2.6 / 5 (3 ratings)
- Updated
- 2026-03-14
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