Data Science Solutions on Azure Tools and Techniques Using Databricks and MLOps

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 DatabricksIntegrate with Azure services like Azure Machine Learning and Azure SynapsDeploy, publish and monitor your data science workloads with MLOpsReview 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.


Data Science Solutions on Azure Tools and Techniques Using Databricks and MLOps Fast Download
Data Science Solutions on Azure Tools and Techniques Using Databricks and MLOps Full Download