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Logistic Regression; Statistics of least Squares Method; Regularized least Squares, by P.S. Sastry

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SVM Formulation with Slack Variables; Nonlinear SVM Classifiers, by P.S. Sastry

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VC-Dimension Examples; VC-Dimension of Hyperplanes, by P.S. Sastry

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Radial Basis Function Networks; Gaussian RBF Networks, by P.S. Sastry

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Risk Minimization View of AdaBoost, by P.S. Sastry

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Nonparametric Estimation, Parzen Windows, Nearest Neighbour Methods, by P.S. Sastry

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Convergence of EM Algorithm, Overview of Nonparametric Density Estimation, by P.S. Sastry

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Overview of SMO and other Algorithms for SVM; ?-SVM and ?-SVR; SVM as a Risk Minimizer, by P.S. Sastry

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Consistency of Empirical Risk Minimization; VC-Dimension, by P.S. Sastry

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Sufficient Statistics; Recursive Formulation of ML and Bayesian Estimates, by P.S. Sastry

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Support Vector Machines–Introduction, Obtaining the Optimal Hyperplane, by P.S. Sastry

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Maximum Likelihood Estimation of Different Densities, by P.S. Sastry

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Estimating Bayes Error; Minimax and Neymann-Pearson Classifiers, by P.S. Sastry

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Linear least Squares Regression; LMS Algorithm, by P.S. Sastry

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Fisher Linear Discriminant, by P.S. Sastry

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Overview of Pattern Classifiers, by P.S. Sastry

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Mixture Densities, ML Estimation and EM Algorithm, by P.S. Sastry

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Assessing Learnt Classifiers; Cross Validation;, by P.S. Sastry

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Multilayer Feedforward Neural Networks with Sigmoidal Activation Functions;, by P.S. Sastry

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Feature Selection and Dimensionality Reduction; Principal Component Analysis, by P.S. Sastry

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Complexity of Learning Problems and VC-Dimension, by P.S. Sastry

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Positive Definite Kernels; RKHS; Representer Theorem, by P.S. Sastry

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Lec 15: Analysis of Forging Contd., by P.S. Robi

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Lec 5: Friction and Lubrication (contd.), by P.S. Robi

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Lec 18: Rolling of Metals, by P.S. Robi

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Lec 14: Analysis of Forging, by P.S. Robi

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Lec 13: Forging, by P.S. Robi

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Lec 20: Analysis of Rolling (Contd..), by P.S. Robi

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Lec 1: Introduction to Plastic Working of Metals, by P.S. Robi

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Lec 27: Wire Drawing: Tutorial Problems, by P.S. Robi

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