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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

Getting started with Google Cloud AutoML Tables

AutoML Tables helps harness the insights in your structured data. In any large enterprise, there are multiple modalities of data, including structured, unstructured, and semi-structured data. For most organizations dealing with databases and transactions, there is indeed a lot of structured data out there. This data is quite suitable for advances analytics, and GCP's AutoML Tables is just the tool to help you automatically build and deploy machine learning models based on structured data.

AutoML Tables enables machine learning engineers and data scientists to automatically build and deploy state-of-the-art machine learning models on structured data faster than anyone could manually do. It automates modeling on a wide range of data types, from numbers and classes to strings, timestamps, lists, and nested fields. Google Cloud AutoML tables make this happen with minimal code. In this chapter, we will learn how to take an exported...

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