Mastering Azure Machine Learning - Second Edition

Supercharge and automate your deployments to Azure Machine Learning Batch clusters and Azure Kubernetes Service using Azure Machine Learning workspace Key Features * Implement end-to-end machine learning pipelines on Azure * Train deep learning models in Azure using compute clusters * Deploy machine learning models using MLOps Book Description Azure Machine Learning is a cloud service for accelerating and managing the machine learning project lifecycle. Machine learning professionals data scientists and engineers can use it in their day-to-day workflows including training and deploying models and managing MLOps. This book covers the complete end-to-end machine learning process using Microsoft Azure Machine Learning. Youll learn how to set up an Azure Machine Learning workspace and ingest and version data as well as visualize preprocess label and enrich the data for machine learning. Next youll navigate step-by-step through practical machine learning tasks and implement models for embedding classification and regression. The book also covers simple and advanced NLP techniques traditional machine learning models such as boosted trees modern deep neural network architectures recommender systems and reinforcement learning and complex distributed machine learning training techniques - all leveraging Azure Machine Learning. Later youll 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 youll be able to automate entire machine learning life cycle processes using MLOps. What you will learn * Understand an end-to-end machine learning pipeline in Azure * Get to grips with the Azure Machine Learning workspace * Ingest analyze and preprocess datasets for machine learning in Azure * Train traditional and modern machine learning techniques efficiently using compute clusters * Deploy machine learning models for batch and real-time scoring * Understand model interoperability with ONNX TensorFlow and ML Core Who This Book Is For This book is for machine learning engineers data scientists and machine learning developers who are familiar with MS Azure ML but now want to create advanced models and make sense of data in the cloud. This book is for those who want to bring powerful analytics into cloud applications. A basic understanding of Python and working knowledge of machine learning are mandatory.