Table of Contents

Azure Machine Learning Service

Cover

Dedication

About the Author

Section 1: Introduction

Chapter 0: The Machine Learning Process and Azure ML

Chapter 1: Introduction to Azure Machine Learning Service

Chapter 2: Creating and Managing Pipelines

Section 2: Data Acquisition and Preparation

Chapter 3: Ingesting Data

Chapter 4: Cleaning and Visualizing Data

Section 3: Model Training, Testing, and Evaluation

Chapter 5: Training and Testing the Data

Chapter 6: Interpreting and Explaining the Model

Chapter 7: Automating Machine Learning

Section 4: Model Maintenance

Chapter 8: Deploying and Consuming the Model

Chapter 9: Track and Monitor Experiments

Chapter 10: Monitor Data and Models