Abstract
In the previous chapters, we discussed how to mix training data, as well as how to mix machine learning models to create more powerful models—leveraging the power of ensemble learning.
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
© 2020 Alok Kumar and Mayank Jain
About this chapter
Cite this chapter
Kumar, A., Jain, M. (2020). Mixing Combinations. In: Ensemble Learning for AI Developers. Apress, Berkeley, CA. https://doi.org/10.1007/978-1-4842-5940-5_4
Download citation
DOI: https://doi.org/10.1007/978-1-4842-5940-5_4
Published:
Publisher Name: Apress, Berkeley, CA
Print ISBN: 978-1-4842-5939-9
Online ISBN: 978-1-4842-5940-5
eBook Packages: Professional and Applied ComputingApress Access BooksProfessional and Applied Computing (R0)