| Name | Download | Download Size |
|---|---|---|
| Lecture Note | Download as zip file | 11M |
| Module Name | Download | Description | Download Size |
|---|---|---|---|
| Overview of Pattern classification and regression | Questions for the whole course | Practice Problems | 78 |
| Sl.No | Chapter Name | English |
|---|---|---|
| 1 | Introduction to Statistical Pattern Recognition | Download Verified |
| 2 | Overview of Pattern Classifiers | Download Verified |
| 3 | The Bayes Classifier for minimizing Risk | Download Verified |
| 4 | Estimating Bayes Error; Minimax and Neymann-Pearson classifiers | Download Verified |
| 5 | Implementing Bayes Classifier; Estimation of Class Conditional Densities | Download Verified |
| 6 | Maximum Likelihood estimation of different densities | Download Verified |
| 7 | Bayesian estimation of parameters of density functions, MAP estimates | Download Verified |
| 8 | Bayesian Estimation examples; the exponential family of densities and ML estimates | Download Verified |
| 9 | Sufficient Statistics; Recursive formulation of ML and Bayesian estimates | Download Verified |
| 10 | Mixture Densities, ML estimation and EM algorithm | Download Verified |
| 11 | Convergence of EM algorithm; overview of Nonparametric density estimation | Download Verified |
| 12 | Nonparametric estimation, Parzen Windows, nearest neighbour methods | Download Verified |
| 13 | Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof | Download Verified |
| 14 | Linear Least Squares Regression; LMS algorithm | Download Verified |
| 15 | AdaLinE and LMS algorithm; General nonliner least-squares regression | Download Verified |
| 16 | Logistic Regression; Statistics of least squares method; Regularized Least Squares | Download Verified |
| 17 | Fisher Linear Discriminant | Download Verified |
| 18 | Linear Discriminant functions for multi-class case; multi-class logistic regression | Download Verified |
| 19 | Learning and Generalization; PAC learning framework | Download Verified |
| 20 | Overview of Statistical Learning Theory; Empirical Risk Minimization | Download Verified |
| 21 | Consistency of Empirical Risk Minimization | PDF unavailable |
| 22 | Consistency of Empirical Risk Minimization; VC-Dimension | Download Verified |
| 23 | Complexity of Learning problems and VC-Dimension | Download Verified |
| 24 | VC-Dimension Examples; VC-Dimension of hyperplanes | Download Verified |
| 25 | Overview of Artificial Neural Networks | Download Verified |
| 26 | Multilayer Feedforward Neural networks with Sigmoidal activation functions; | Download Verified |
| 27 | Backpropagation Algorithm; Representational abilities of feedforward networks | Download Verified |
| 28 | Feedforward networks for Classification and Regression; Backpropagation in Practice | Download Verified |
| 29 | Radial Basis Function Networks; Gaussian RBF networks | Download Verified |
| 30 | Learning Weights in RBF networks; K-means clustering algorithm | Download Verified |
| 31 | Support Vector Machines -- Introduction, obtaining the optimal hyperplane | Download Verified |
| 32 | SVM formulation with slack variables; nonlinear SVM classifiers | PDF unavailable |
| 33 | Kernel Functions for nonlinear SVMs; Mercer and positive definite Kernels | Download Verified |
| 34 | Support Vector Regression and ?-insensitive Loss function, examples of SVM learning | Download Verified |
| 35 | Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer | Download Verified |
| 36 | Positive Definite Kernels; RKHS; Representer Theorem | Download Verified |
| 37 | Feature Selection and Dimensionality Reduction; Principal Component Analysis | Download Verified |
| 38 | No Free Lunch Theorem; Model selection and model estimation; Bias-variance trade-off | Download Verified |
| 39 | Assessing Learnt classifiers; Cross Validation; | Download Verified |
| 40 | Bootstrap, Bagging and Boosting; Classifier Ensembles; AdaBoost | Download Verified |
| 41 | Risk minimization view of AdaBoost | Download Verified |
| Sl.No | Language | Book link |
|---|---|---|
| 1 | English | Not Available |
| 2 | Bengali | Not Available |
| 3 | Gujarati | Not Available |
| 4 | Hindi | Not Available |
| 5 | Kannada | Not Available |
| 6 | Malayalam | Not Available |
| 7 | Marathi | Not Available |
| 8 | Tamil | Not Available |
| 9 | Telugu | Not Available |