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Automated Machine Learning

You're reading from   Automated Machine Learning Hyperparameter optimization, neural architecture search, and algorithm selection with cloud platforms

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Product type Paperback
Published in Feb 2021
Publisher Packt
ISBN-13 9781800567689
Length 312 pages
Edition 1st Edition
Languages
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Author (1):
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Adnan Masood Adnan Masood
Author Profile Icon Adnan Masood
Adnan Masood
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Table of Contents (15) Chapters Close

Preface 1. Section 1: Introduction to Automated Machine Learning
2. Chapter 1: A Lap around Automated Machine Learning FREE CHAPTER 3. Chapter 2: Automated Machine Learning, Algorithms, and Techniques 4. Chapter 3: Automated Machine Learning with Open Source Tools and Libraries 5. Section 2: AutoML with Cloud Platforms
6. Chapter 4: Getting Started with Azure Machine Learning 7. Chapter 5: Automated Machine Learning with Microsoft Azure 8. Chapter 6: Machine Learning with AWS 9. Chapter 7: Doing Automated Machine Learning with Amazon SageMaker Autopilot 10. Chapter 8: Machine Learning with Google Cloud Platform 11. Chapter 9: Automated Machine Learning with GCP 12. Section 3: Applied Automated Machine Learning
13. Chapter 10: AutoML in the Enterprise 14. Other Books You May Enjoy

Modeling with Azure Machine Learning

Before we create an automated ML workflow, let's start with a simple Azure notebook:

  1. Azure notebooks are an integrated part of the Azure Machine Learning service, and you can either create or use a sample notebook to get started:

    Figure 4.19 – Azure Machine Learning sample notebooks

  2. In the Search to filter notebooks box in the left pane, as shown in the following figure, search for MNIST and it will filter to show you the notebooks. Select the image-classification-part1-training.ipynb file to see the notebook in the right pane, and click on Clone this notebook to create your own copy:

    Figure 4.20 – MNIST image classification notebook

  3. Click on the Clone this notebook button to clone the notebook. Cloning the notebook copies the notebook and associated configurations into your user folder as shown in the following figure. This step copies the notebooks and yml configuration files to the user directory:

    Figure 4...

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