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)

Introduction to DSVMs

A DSVM is a Linux or Windows container that is made up of popular data science tools and frameworks. It can help us quickly get started with data analytics and data science. It supports a number of OSes; currently, we can create a DSVM with Windows 2012, Windows 2016, Ubuntu Linux, and CentOS Linux. The idea behind DSVMs is to decrease the time it takes to create a working environment.

A DSVM has preconfigured libraries that are tested for compatibility. It is updated every few months so that it uses the latest compatible version of tools, libraries, and frameworks. It supports GPU VMs and comes pre-installed with the necessary drivers. A DSVM also includes tutorials and guides on how to get started.

A DSVM is likely to come pre-installed with the following components:

  • Programming languages, such as C#, Julia, Java, R, Python, and JavaScript
  • Deep learning...