November 2018
Intermediate to advanced
322 pages
7h 54m
English
Content preview from TensorFlow Machine Learning Projects
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Gradient boosting
Gradient boosted trees are an ensemble of shallow trees (or weak learners). The shallow decision trees could be as small as a tree with just two leaves (also known as decision stump). The boosting methods help in reducing bias mainly but also help reduce variance slightly.
Original papers by Breiman and Friedman who developed the idea of gradient boosting are available at following links:
- Prediction Games and Arcing Algorithms by Breiman, L at https://www.stat.berkeley.edu/~breiman/games.pdf
- Arcing The Edge by Breiman, L at http://statistics.berkeley.edu/sites/default/files/tech-reports/486.pdf
- Greedy Function Approximation: A Gradient Boosting Machine by Friedman, J. H. at http://statweb.stanford.edu/~jhf/ftp/trebst.pdf ...
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