Abstract
Machine learning is a powerful technique for producing intelligence for large, hard, open-ended, time-changing problems. It works by showing the computer lots (and lots) of examples of contexts and the desired outcomes. The computer produces models from these examples. And the models can be used to predict the outcome for future contexts.
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2018 Geoff Hulten
About this chapter
Cite this chapter
Hulten, G. (2018). Machine Learning Intelligence. In: Building Intelligent Systems. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-3432-7_20
Download citation
DOI: https://doi.org/10.1007/978-1-4842-3432-7_20
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-3431-0
Online ISBN: 978-1-4842-3432-7
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)