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=== Lectures Notes === |
=== Lectures Notes === |
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== Books and Book Chapters == |
== Books and Book Chapters == |
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| + | * Russell, S. J., & Norvig, P. (2010). "Section 18.3: Decision Tree Learning". Artificial Intelligence: A Modern Approach. Prentice Hall. |
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* Mitchell, T. M. (1997). "Chapter 3: Decision Tree Learning". ''Machine Learning''. McGraw Hill. |
* Mitchell, T. M. (1997). "Chapter 3: Decision Tree Learning". ''Machine Learning''. McGraw Hill. |
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Revision as of 17:38, 17 November 2016
This page contains resources about Decision Tree Learning.
Subfields and Concepts
- Decision trees
- Decision forests / Random forests
Online Courses
Video Lectures
Lectures Notes
Books and Book Chapters
- Russell, S. J., & Norvig, P. (2010). "Section 18.3: Decision Tree Learning". Artificial Intelligence: A Modern Approach. Prentice Hall.
- Mitchell, T. M. (1997). "Chapter 3: Decision Tree Learning". Machine Learning. McGraw Hill.
Scholarly Articles
Tutorials
Software
- Classification Trees (Statistics and Machine Learning) - MATLAB
- Regression Trees (Statistics and Machine Learning) - MATLAB
- Regression Tree Ensembles (Statistics and Machine Learning) - MATLAB
- Decision Trees (scikit-learn) - Python
- Sherwood - C++ and C# library for Decision Forests
See also
Other Resources
- Awesome-Random-Forest (Github) - A curated list of resources