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Hands-On Automated Machine Learning

You're reading from   Hands-On Automated Machine Learning A beginner's guide to building automated machine learning systems using AutoML and Python

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Product type Paperback
Published in Apr 2018
Publisher Packt
ISBN-13 9781788629898
Length 282 pages
Edition 1st Edition
Languages
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Authors (2):
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Umit Mert Cakmak Umit Mert Cakmak
Author Profile Icon Umit Mert Cakmak
Umit Mert Cakmak
Sibanjan Das Sibanjan Das
Author Profile Icon Sibanjan Das
Sibanjan Das
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Toc

Table of Contents (10) Chapters Close

Preface 1. Introduction to AutoML 2. Introduction to Machine Learning Using Python FREE CHAPTER 3. Data Preprocessing 4. Automated Algorithm Selection 5. Hyperparameter Optimization 6. Creating AutoML Pipelines 7. Dive into Deep Learning 8. Critical Aspects of ML and Data Science Projects 9. Other Books You May Enjoy

Summary

By now, you should have an overall idea of what automated ML is and why you need to be familiar with ML pipelines.

You have reviewed the core components of AutoML systems and also practiced your skills using popular AutoML libraries.

This is definitely not the whole list, and AutoML is an active area of research. You should check out other libraries such as Auto-WEKA, which also uses the latest innovations in Bayesian optimization, and Xcessive, which is a user-friendly tool for creating stacked ensembles.

For now, this is enough of magic! You should start working on your own masterpiece and in the following chapters, you will be building an AutoML system of your own!

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