Mastering Azure Machine Learning
This updated second edition of Mastering Azure Machine Learning is a critically timed book. It builds upon simple and advanced NLP techniques, ML models such as boosted trees, deep neural network architectures, and more to help you leverage the power of Azure Machine Learning Services.
Offered by
Difficulty Level
Intermediate
Completion Time
20h48m
Language
English
About Book
Who Is This Book 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
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 20h48m total length
Understanding the End-to-End Machine Learning Process
Choosing the Right Machine Learning Service in Azure
Preparing the Azure Machine Learning Workspace
Ingesting Data and Managing Datasets
Performing Data Analysis and Visualization
Feature Engineering and Labeling
Advanced Feature Extraction with NLP
Azure Machine Learning Pipelines
Building ML Models Using Azure Machine Learning
Training Deep Neural Networks on Azure
Hyperparameter Tuning and Automated Machine Learning
Distributed Machine Learning on Azure
Building a Recommendation Engine in Azure
Model Deployment, Endpoints, and Operations
Model Interoperability, Hardware Optimization, and Integrations
Bringing Models into Production with MLOps
Preparing for a Successful ML Journey
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