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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

Supervised learning

As the name suggests, the learning process is supervised based on a specified target/outcome.

The objective of supervised ML models is to learn and discover the patterns that can correctly predict the outcome. In case of supervised learning, there is always a labeled historical dataset with a target attribute. All attributes other than the target are termed as predictors/features.

The target can be a continuous numeric attribute, a binary attribute indicating yes/no decisions, or a multi-class attribute with more than two outcomes. Based on the target, the model identifies a pattern, establishes a relationship between the predictors, and then uses the derived recipe to predict unknown targets in a new independent dataset.  ...

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Publisher Resources

ISBN: 9781788629898Supplemental Content