Mastering Azure Machine Learning - Second Edition

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Mastering Azure Machine Learning - Second Edition

Mastering Azure Machine Learning


This eBook includes

Formats : PDF (Read Only)

Pages : 624

ISBN : 9781803246796

Edition : Second Edition

Language : English

About the Book

Book description

Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services

Key Features

  • Implement end-to-end machine learning pipelines on Azure
  • Train deep learning models using Azure compute infrastructure
  • Deploy machine learning models using MLOps

Book Description

Azure Machine Learning is a cloud service for accelerating and managing the machine learning (ML) project life cycle that ML professionals, data scientists, and engineers can use in their day-to-day workflows. This book covers the end-to-end ML process using Microsoft Azure Machine Learning, including data preparation, performing and logging ML training runs, designing training and deployment pipelines, and managing these pipelines via MLOps.

The first section shows you how to set up an Azure Machine Learning workspace; ingest and version datasets; as well as preprocess, label, and enrich these datasets for training. In the next two sections, you'll discover how to enrich and train ML models for embedding, classification, and regression. You'll explore advanced NLP techniques, traditional ML models such as boosted trees, modern deep neural networks, recommendation systems, reinforcement learning, and complex distributed ML training techniques - all using Azure Machine Learning.

The last section will teach you how to deploy the trained models as a batch pipeline or real-time scoring service using Docker, Azure Machine Learning clusters, Azure Kubernetes Services, and alternative deployment targets.

By the end of this book, you’ll be able to combine all the steps you’ve learned by building an MLOps pipeline.

What you will learn

  • Understand the end-to-end ML pipeline
  • Get to grips with the Azure Machine Learning workspace
  • Ingest, analyze, and preprocess datasets for ML using the Azure cloud
  • Train traditional and modern ML techniques efficiently using Azure ML
  • Deploy ML models for batch and real-time scoring
  • Understand model interoperability with ONNX
  • Deploy ML models to FPGAs and Azure IoT Edge
  • Build an automated MLOps pipeline using Azure DevOps

Who this book is for

This book is for machine learning engineers, data scientists, and machine learning developers who want to use the Microsoft Azure cloud to manage their datasets and machine learning experiments and build an enterprise-grade ML architecture using MLOps. This book will also help anyone interested in machine learning to explore important steps of the ML process and use Azure Machine Learning to support them, along with building powerful ML cloud applications. A basic understanding of Python and knowledge of machine learning are recommended.

Mastering Azure Machine Learning - Second Edition

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Author Details

Packt Publishing

Packt Publishing

Founded in 2004 in Birmingham, UK, Packt's mission is to help the world put software to work in new ways, through the delivery of effective learning and information services to IT professionals.

Working towards that vision, we have published over 6,500 books and videos so far, providing IT professionals with the actionable knowledge they need to get the job done - whether that's specific learning on an emerging technology or optimizing key skills in more established tools.

As part of our mission, we have also awarded over $1,000,000 through our Open Source Project Royalty scheme, helping numerous projects become household names along the way.

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