Azure Machine Learning
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Azure Machine Learning Service
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Last updated
5 years ago
Section 1: Introduction
Section 2: Data Acquisition and Preparation
Section 3: Model Training, Testing, and Evaluation
Section 4: Model Maintenance
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Dedication
About the Author
Chapter 0: The Machine Learning Process and Azure ML
Chapter 1: Introduction to Azure Machine Learning Service
Chapter 2: Creating and Managing Pipelines
Chapter 3: Ingesting Data
Chapter 4: Cleaning and Visualizing Data
Chapter 5: Training and Testing the Data
Chapter 6: Interpreting and Explaining the Model
Chapter 7: Automating Machine Learning
Chapter 8: Deploying and Consuming the Model
Chapter 9: Track and Monitor Experiments
Chapter 10: Monitor Data and Models