Azure Machine Learning
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Azure Machine Learning
  • Table of Contents
  • Cover
  • Dedication
  • About the Author
  • Section 1: Introduction
    • The Machine Learning Process and Azure ML
    • Introduction to Azure Machine Learning Service
    • Creating and Managing Pipelines
  • Section 2: Data Acquisition and Preparation
    • Ingesting Data
    • Cleaning and Visualizing Data
  • Section 3: Model Training, Testing, and Evaluation
    • Training and Testing the Data
    • Interpreting and Explaining the Model
    • Automating Machine Learning
  • Section 4: Model Maintenance
    • Deploying and Consuming the Model
    • Track and Monitor Experiments
    • Monitor Data and Models
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Table of Contents

Azure Machine Learning Service

Coverarrow-up-right

Dedicationarrow-up-right

About the Authorarrow-up-right

hashtag
Section 1: Introduction

Chapter 0: The Machine Learning Process and Azure MLarrow-up-right

Chapter 1: Introduction to Azure Machine Learning Servicearrow-up-right

Chapter 2: Creating and Managing Pipelinesarrow-up-right

hashtag
Section 2: Data Acquisition and Preparation

Chapter 3: Ingesting Dataarrow-up-right

Chapter 4: Cleaning and Visualizing Dataarrow-up-right

hashtag
Section 3: Model Training, Testing, and Evaluation

Chapter 5: Training and Testing the Dataarrow-up-right

Chapter 6: Interpreting and Explaining the Modelarrow-up-right

Chapter 7: Automating Machine Learningarrow-up-right

hashtag
Section 4: Model Maintenance

Chapter 8: Deploying and Consuming the Modelarrow-up-right

Chapter 9: Track and Monitor Experimentsarrow-up-right

Chapter 10: Monitor Data and Modelsarrow-up-right

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Last updated 6 years ago

  • Section 1: Introduction
  • Section 2: Data Acquisition and Preparation
  • Section 3: Model Training, Testing, and Evaluation
  • Section 4: Model Maintenance