Exploring Machine Learning Lecture 13 Statistics 1
Exploring Machine Learning Lecture 13 Statistics 1 reveals several interesting facts.
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In-Depth Information on Machine Learning Lecture 13 Statistics 1
We Introduce In What is this About: Polynomial Kernel, RBF Kernel, Confusion Matrix(Binary, Multi-Class), Accuracy, Precision, Recall, ... PCA, principal component analysis, maximing variance vs minimizing MSE, Why this is solved by Eigenvector decomposition.
Grid Search, Randomized Search Bayesian Optimization, SMBO Successive halving, hyperband auto-sklearn Freely borrowed ...
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