Original PDF Ebook – Mastering Azure Machine Learning2nd EditionExecute large-scale end-to-end machine learning with Azure, 2nd Edition – 9781803232416
Supercharge and automate your deployments to Azure Machine Learning clusters and Azure Kubernetes Service using Azure Machine Learning services_x000D_Key Features_x000D_
Implement end-to-end machine learning pipelines on Azure_x000D_
Train deep learning models using Azure compute infrastructure_x000D_
Deploy machine learning models using MLOps_x000D_
Book Description_x000D_
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._x000D_
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._x000D_
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._x000D_
By the end of this book, you’ll be able to combine all the steps you’ve learned by building an MLOps pipeline._x000D_
What you will learn
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