{{keywords>Ensemble Learning}}

<title classes #id>
Ensemble Learning
</title>

===== Recommended Reading =====

  * [[https://projecteuclid.org/download/pdf_1/euclid.aos/1013203451|Greedy Function Approximation: A Gradient Boosting Machine]] by Jerome Friedman (2001)
  * [[http://web.engr.oregonstate.edu/~tgd/publications/mcs-ensembles.pdf|Ensemble Methods in Machine Learning]] by Thomas Dietterich (2000)
  * [[http://www.scholarpedia.org/article/Ensemble_learning|Ensemble learning]] on Scholarpedia.
  * [[http://explained.ai/gradient-boosting/index.html|How to explain gradient boosting]] by Terence Parr and Jeremy Howard.

===== Recommended Watching =====

  * [[https://www.coursera.org/lecture/machine-learning-applications-big-data/gradient-boosted-decision-trees-classification-z2d12|Gradient Boosted Decision Trees: Classification]] by Yandex on Coursera