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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

Automated algorithm selection

Once you are done with feature processing, you need to find a suitable set of algorithms for training and evaluation.

Every ML algorithm has an ability to solve certain problems. Let's consider clustering algorithms such as k-means, hierarchical clustering, spectral clustering, and DBSCAN. We are familiar with k-means, but what about the others? Each of these algorithms has application areas and each might perform better than others based on the distributional properties of a dataset.

AutoML pipelines can help you to choose the right algorithm from a set of suitable algorithms for a given problem.

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Publisher Resources

ISBN: 9781788629898Supplemental Content