Mastering Azure Machine Learning
This book will help you learn how to build a scalable end-to-end machine learning pipeline in Azure from experimentation and training to optimization and deployment. By the end of this book, you will learn to build complex distributed systems and scalable cloud infrastructure using powerful machine learning algorithms to compute insights.
Offered by
Difficulty Level
Intermediate
Completion Time
14h32m
Language
English
About Book
Who Is This Book For?
This machine learning book is for data professionals, data analysts, data engineers, data scientists, or machine learning developers who want to master scalable cloud-based machine learning architectures in Azure. This book will help you use advanced Azure services to build intelligent machine learning applications. A basic understanding of Python and working knowledge of machine learning are mandatory.
Mastering Azure Machine Learning
- About Book
- Who Is This Book For?
- Book Content
Book content
chapters • 14h32m total length
Building an End-to-end Machine Learning Pipeline
Choosing a Machine Learning Service in Azure
Data Experimentation and Visualization using Azure
ETL, Data Preparation and Feature Extraction
Advanced Feature Extraction with NLP
Building ML Models using Azure Machine Learning
Training Deep Neural Networks on Azure
Hyperparameter Tuning and Automated Machine Learning
Distributed Machine Learning on Azure ML Clusters
Building a Recommendation Engine in Azure
Deploying and Operating Machine Learning Models
MLOps – DevOps for Machine Learning
What's next?
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