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
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