Complete explanations of various Data Science, Big Data, Data Mining, Machine Learning and Pattern Recognition formulae including Neural Network, PCA, Gaussian Mixture, EM Algorithm, K Means clustering, Market Basket Analysis, Bootstrap sampling, Q Learning by example, Discriminant Analysis, K Nearest Neighbors, Generalized Inverse, SVM, IFN, and many more
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