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Hands-On Automated Machine Learning
book

Hands-On Automated Machine Learning

by Sibanjan Das, Umit Mert Cakmak
April 2018
Beginner to intermediate content levelBeginner to intermediate
282 pages
6h 52m
English
Packt Publishing
Content preview from Hands-On Automated Machine Learning

Unsupervised learning

Similarly, in the case of unsupervised learning, there is no target attribute. The objective of unsupervised learning is to identify patterns by deducing structures and the relations of the features in the input dataset. It can be used to discover rules that collectively define a group, such as topic generation, partitioning—such as customer segmentation or determining the internal structure of the data such as gene clustering. Examples of unsupervised learning algorithms include association rule mining and clustering algorithms.

It is quite essential to know about different learning algorithms before creating an AutoML system. Before using an algorithm, it is critical to understand its triple WWhat it is, Where is ...

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Publisher Resources

ISBN: 9781788629898Supplemental Content