/ http://www.slideshare.net/images/logo.gif / ºÝºÝߣShare feed for ºÝºÝߣshows by User: atultriptrip https://cdn.slidesharecdn.com/profile-photo-atultriptrip-48x48.jpg?cb=1623824931 Data Mining & Machine Learning Techniques --- • Data Mining methods like Association and Sequence Discovery methods, Anomaly Detection, Decision Tree, Random Forests • Clustering, Classification, Event Sequence clustering • Statistical Methods like Bayesian, Linear and Logistic Regression • Markov Chains, Neural Networks, Naive Bayes, Prototype Methods and Nearest-Neighbors’ Forecasting Measures --- • Time Series, GARCH, Interpolation Methods, Cubic Spline Interpolation • Monte Carlo Simulations – Cholesky Decomposition, Monte Carlo for Mean Reversion, Random Number Algorithms, Variance Reduction Techniques - Antithetic Variance Reduction, IQ-MC, Quasi-Random Quantitati...