
Sách keo gáy, Bìa mềm
Thể loại:Computers - Programming
Năm:2020
In lần thứ:1st ed.
Ngôn ngữ:english
Trang:290
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.