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Data Science Solutions on Azure - Tools and Techniques Using Databricks and MLOps (Paperback, 1st ed.)
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Data Science Solutions on Azure - Tools and Techniques Using Databricks and MLOps (Paperback, 1st ed.)
Expected to ship within 9 - 15 working days
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Understand and learn the skills needed to use modern tools in
Microsoft Azure. This book discusses how to practically apply these
tools in the industry, and help drive the transformation of
organizations into a knowledge and data-driven entity. It provides
an end-to-end understanding of data science life cycle and the
techniques to efficiently productionize workloads. The book starts
with an introduction to data science and discusses the statistical
techniques data scientists should know. You'll then move on to
machine learning in Azure where you will review the basics of data
preparation and engineering, along with Azure ML service and
automated machine learning. You'll also explore Azure Databricks
and learn how to deploy, create and manage the same. In the final
chapters you'll go through machine learning operations in Azure
followed by the practical implementation of artificial intelligence
through machine learning. Data Science Solutions on Azure will
reveal how the different Azure services work together using real
life scenarios and how-to-build solutions in a single comprehensive
cloud ecosystem. What You'll Learn Understand big data analytics
with Spark in Azure Databricks Integrate with Azure services like
Azure Machine Learning and Azure Synaps Deploy, publish and monitor
your data science workloads with MLOps Review data abstraction,
model management and versioning with GitHub Who This Book Is For
Data Scientists looking to deploy end-to-end solutions on Azure
with latest tools and techniques.
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