Difference between revisions of "Machine Learning"

@@ Line 1: / Line 1: @@
-== Types of Machine Learning ==
+* [[Machine Learning (Andrew Ng Course)]]
+* [[Neural Networks (Geoffrey Hinton Course)]]
-* Supervised Learning
-** Regression Problem: Continuous valued output.
-** Classification Problem: Discrete valued output.
-* Unsupervised Learning
-** Clustering
-== Linear Regression ==
-== Classification Problem ==
-=== Cocktail Party Problem ===
-* Algorithm
-** [W, s, v] = svd((repmat(sum(x.*x, 1), size(x, 1), 1).*x)*x');
-$\log yh_\theta(x) + (1-y) \log (1-h_\theta(x))$ comes from Maximum Likelihood Method in Statistics

Latest revision as of 17:20, 30 October 2016