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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 FREE CHAPTER 2. Introduction to Machine Learning Using Python 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

Clustering

We will begin this section with a question. How do we start learning a new algorithm or a machine learning method? We start with triple W. So, let's being with that for the clustering method.

What is clustering?

Clustering is a technique to group similar data together, and a group has some unique characteristics that are different from other groups. Data can be clustered together using various methods. One of them is rule-based, where the groups are formed based on certain predefined conditions, such as grouping customers based on their age or industry. Another method is to use ML algorithms to cluster data together.

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