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            Updated
            Oct 5, 2019 
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        linear-discriminant-function
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Learned the fundamentals and applications in ML: Intro to Prob. & Linear algebra, Decision Theory, MLE & BE, Linear Model, Linear Discriminant function, Perceptron, FLD, PCA, Non-parametric Learning, Clustering, EM, GMM, EM and Latent Variable Model, Probabilistic Graphical Model, Bayesian Network, Neural Network, SVM, Decision Tree and Boosting
          neural-network          clustering          linear-algebra          probability          bayesian-network          pca          perceptron          support-vector-machine          linear-model          gmm          decision-tree          probabilistic-graphical-models          latent-variable-models          decision-theory          boosting          maximum-likelihood-estimation          bayesian-estimation          linear-discriminant-function          non-parametric-learning      
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            Updated
            Jan 20, 2024 
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