decision trees and random forests
people.eecs.berkeley.edu · 2,865 words · saved by 1 readers
N/A
More Decision Trees, Ensemble Learning, and Random Forests 81 15 More Decision Trees, Ensemble Learning, and Random Forests DECISION TREE VARIATIONS [Last lecture, I taught you the vanilla algorithm for building decision trees and using them to classify test points. There are many variations on this basic algorithm; I’ll discuss a few now.] Decision Tree Regression Creates a piecewise constant regression fn. [This seems too rudimentary to be true, but it’s true.] x2 h…
related reading
- decision treespeople.eecs.berkeley.edu
- Random forest - Wikipediaen.wikipedia.org
- A Course in Machine Learningciml.info
- Decision tree learning - Wikipediaen.wikipedia.org
- boosting, nearest neighbour classificationpeople.eecs.berkeley.edu
- 6.036_notes.pdfphillipi.github.io
- The Little Book of Deep Learningfleuret.org
- med.stanford.edu/content/dam/sm/dbds/documents/biostats-workshop/paper-1-.pdfmed.stanford.edu
- course_stat_rl.pdfmit.edu
- note 6: bayes decision rulepeople.eecs.berkeley.edu
- deeplearningbook.org/contents/ml.htmldeeplearningbook.org
- Part 2: Kinds of RL Algorithms - Spinning Up documentationspinningup.openai.com