Book Image

Hands-On Machine Learning with Azure

By : Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak
Book Image

Hands-On Machine Learning with Azure

By: Thomas K Abraham, Parashar Shah, Jen Stirrup, Lauri Lehman, Anindita Basak

Overview of this book

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 Learning Studio and build a model using canned algorithms that can be deployed as web services. The book then takes you through a preconfigured series of virtual machines in Azure targeted at AI development scenarios. You will get to grips with the ML Server and its capabilities in SQL and HDInsight. In the concluding chapters, you’ll integrate patterns with other non-AI services in Azure. By the end of this book, you will be fully equipped to implement smart cognitive actions in your models.
Table of Contents (14 chapters)

Getting started with Azure HDInsight and ML services

HDInsight has a number of cluster types, which include Hadoop (Hive), HBase, Storm, Spark, Kafka, Interactive Hive (LLAP), and ML Services (R Server) (with R Studio, R 9.1). Here is the ML Cluster configuration, which is established during setup:

Setup and configuration of HDInsight

In this section, we will set up and configure HDInsight. To set up and configure HDInsight, carry out the following steps:

  1. Ensure that you have an Azure account
  2. Log into the Azure portal at
  3. When you are logged into the Azure portal, click on the button to add a new resource
  4. In the search query box, type in HDInsight and you will be given a number of options
  5. Select the option...