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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

This chapter offers a glimpse into the vast landscape of machine learning (ML) algorithms. A bird's-eye view will show you the kind of learning problems that you can tackle with ML, which you have already learned. Let's briefly review them.

If examples/observations in your dataset have associated labels, then these labels can provide guidance to algorithms during model training. Having this guidance or supervision, you will use supervised or semi-supervised learning algorithms. If you don't have labels, you will use unsupervised learning algorithms.

There are other cases that require different approaches, such as reinforcement learning, but, in this chapter, the main focus will be on supervised and unsupervised ...

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Publisher Resources

ISBN: 9781788629898Supplemental Content