Udemy – Mathematics & Statistics of Machine Learning & Data Science

$7

Mathematics and Statistics behind Machine Learning,Mathematics and Statistics behind Neural Networks,Mathematics and Statistics behind Deep Learning,Probably Approximately Correct (PAC) Learning,Vapnik-Chervonenkis (VC) Dimension,Bayesian Decision Theory,Parametric Methods,Bernoulli Density,Tuning Model Complexity,Gaussian (Normal) Density,Multivariate Methods,Multivariate Normal Distribution,Tuning Complexity,Dimensionality Reduction,Linear Discriminant Analysis,Clustering,Expectation-Maximization Algorithm,Supervised Learning after Clustering,k-Means Clustering,Nonparametric Density Estimation,Kernel Estimator,k-Nearest Neighbor Estimator,Condensed Nearest Neighbor,Pruning,Multivariate Trees,Learning Vector Quantization,v-SVM,Multiclass Kernel Machines,Model Selection in HMM