(ML 2.8) Random forests
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9:47
(ML 2.2) Regression trees (CART)by mathematicalmonk1,575 views- 10:25
(ML 1.2) What is supervised learning?by mathematicalmonk2,947 views
- 14:56
(ML 2.7) Bagging for classificationby mathematicalmonk1,062 views
- 11:00
(ML 1.5) Generative vs discriminative modelsby mathematicalmonk2,040 views
- 14:56
(ML 9.2) Linear regression - Definition & Motivationby mathematicalmonk546 views
- 14:57
(ML 2.6) Bootstrap aggregation (Bagging)by mathematicalmonk1,936 views
- 12:25
(ML 3.5) The Big Picture (part 1)by mathematicalmonk893 views
- 8:58
(ML 1.3) What is unsupervised learning?by mathematicalmonk2,330 views
- 14:25
(ML 9.4) MLE for linear regression (part 1)by mathematicalmonk710 views
- 12:33
(ML 11.1) Estimatorsby mathematicalmonk1,413 views
- 14:32
(ML 7.7.A1) Dirichlet distributionby mathematicalmonk1,826 views
- 14:53
(ML 8.1) Naive Bayes classificationby mathematicalmonk2,717 views
- 13:44
(ML 2.3) Growing a regression tree (CART)by mathematicalmonk1,562 views
- 11:45
(ML 10.1) Bayesian Linear Regressionby mathematicalmonk1,066 views
- 9:27
(ML 7.7.A2) Expectation of a Dirichlet random variableby mathematicalmonk531 views
- 1:14:23
Lecture 12 | Machine Learning (Stanford)by StanfordUniversity18,468 views
- 13:35
(ML 5.2) Exponential families (part 2)by mathematicalmonk527 views
- 14:19
(ML 1.6) k-Nearest Neighbor classification algorithmby mathematicalmonk4,354 views
- 14:53
(ML 10.2) Posterior for linear regression (part 1)by mathematicalmonk634 views
- 13:07
(ML 7.6) Beta-Bernoulli model (part 2)by mathematicalmonk475 views
If somebody is looking for that citation at 1:55: I think it's Rich Caruana, Alexandru Niculescu-Mizil. An Empirical Comparison of Supervised Learning Algorithms. ICML 2006
Quote: "With excellent performance on all eight metrics, cali-
brated boosted trees were the best learning algorithm
overall. Random forests are close second, followed by
uncalibrated bagged trees, calibrated SVMs, and un-
calibrated neural nets."
justsomeguy113 2 weeks ago in playlist Machine Learning