Machine Learning

The primary focus of this course to learn techniques to make sense of numerical data. Ways to learn the hidden rules in raw data by reducing the size of data or refining the numerical data is taught in this course. Application of the methods learned in this course in finance, sociology, computer vision, psychology and other fields is also discussed. Major topics learned in this course includes: PCA, ICA, LDA, Decision Tree, clustering, ANN, HMM, SVM and varied versions of these methods.

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