Data Science Solutions on Azure (1st Edition)

Tools and Techniques Using Databricks, Azure Synapse, and MLOps

Data Science Solutions on Azure (1st Edition)
Julian Soh, Priyanshi Singh
RRP:
NZ$ 84.99
Our Price:
NZ$ 67.99
Paperback
h235 x 155mm - 240pg
2 Dec 2020 US
International import eta 7-19 days
9781484264041
Out Of Stock
Currently no stock in-store, stock is sourced to your order
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 LearnUnderstand big data analytics with Spark in Azure Databricks Integrate with Azure services like Azure Machine Learning and Azure SynapsDeploy, publish and monitor your data science workloads with MLOps Review data abstraction, model management and versioning with GitHubWho This Book Is For Data Scientists looking to deploy end-to-end solutions on Azure with latest tools and techniques.
Julian Soh is a cloud solutions architect with Microsoft, focusing in the areas of artificial intelligence, cognitive services, and advanced analytics. Prior to his current role, Julian worked extensively in major public cloud initiatives, such as SaaS (Microsoft Office 365), IaaS/PaaS (Microsoft Azure), and hybrid private-public cloud implementations. Priyanshi Singh is a data scientist by training and a data enthusiast by nature specializing in machine learning techniques applied to predictive analytics, computer vision and natural language processing. She holds a master' s degree in Data Science from New York University and is currently a Cloud Solution Architect at Microsoft helping the public sector to transform citizen services with Artificial Intelligence.
Status: No local stock, title imported to order
ISBN-13: 9781484264041
Published: 2 Dec 2020
Published In: United States
Imprint: APress
Publisher: APress
Format: Paperback
Height: 235mm
Width: 155mm
Pages: 240

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