# Pattern Recognition

- Institution: IISc Bangalore
- Department: Electronics & Communication Engineering
- Teacher: Prof. P.S. Sastry
- Level: Undergraduate
- Language: English
- Subjects: Engineering, Society and politics
- Source: [NPTEL](https://nptel.ac.in/courses/117108048)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/117108048)
- Who can watch: Teens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Introduction to Statistical Pattern Recognition](https://invisiblenetwork.ai/learn/nptel/117108048/6e6d59bf2cc9) (Video)
2. [Overview of Pattern Classifiers](https://invisiblenetwork.ai/learn/nptel/117108048/43ba91d9932b) (Video)
3. [The Bayes Classifier for minimizing Risk](https://invisiblenetwork.ai/learn/nptel/117108048/60d639e99485) (Video)
4. [Estimating Bayes Error; Minimax and Neymann-Pearson classifiers](https://invisiblenetwork.ai/learn/nptel/117108048/db25c93a52b9) (Video)
5. [Implementing Bayes Classifier; Estimation of Class Conditional Densities](https://invisiblenetwork.ai/learn/nptel/117108048/b7bc65473b9f) (Video)
6. [Maximum Likelihood estimation of different densities](https://invisiblenetwork.ai/learn/nptel/117108048/3a45e2765d99) (Video)
7. [Bayesian estimation of parameters of density functions, MAP estimates](https://invisiblenetwork.ai/learn/nptel/117108048/d615f4a6dc4a) (Video)
8. [Bayesian Estimation examples; the exponential family of densities and ML estimates](https://invisiblenetwork.ai/learn/nptel/117108048/1d69cc7dee42) (Video)
9. [Sufficient Statistics; Recursive formulation of ML and Bayesian estimates](https://invisiblenetwork.ai/learn/nptel/117108048/d03381aadd6b) (Video)
10. [Mixture Densities, ML estimation and EM algorithm](https://invisiblenetwork.ai/learn/nptel/117108048/f108f97f4c7f) (Video)
11. [Convergence of EM algorithm; overview of Nonparametric density estimation](https://invisiblenetwork.ai/learn/nptel/117108048/ee1d6ff251a3) (Video)
12. [Nonparametric estimation, Parzen Windows, nearest neighbour methods](https://invisiblenetwork.ai/learn/nptel/117108048/a5df6054d810) (Video)
13. [Linear Discriminant Functions; Perceptron -- Learning Algorithm and convergence proof](https://invisiblenetwork.ai/learn/nptel/117108048/80743482544b) (Video)
14. [Linear Least Squares Regression; LMS algorithm](https://invisiblenetwork.ai/learn/nptel/117108048/f26d083b1c58) (Video)
15. [AdaLinE and LMS algorithm; General nonliner least-squares regression](https://invisiblenetwork.ai/learn/nptel/117108048/45248110cfa8) (Video)
16. [Logistic Regression; Statistics of least squares method; Regularized Least Squares](https://invisiblenetwork.ai/learn/nptel/117108048/2b38c8cc376b) (Video)
17. [Fisher Linear Discriminant](https://invisiblenetwork.ai/learn/nptel/117108048/45c21afdfd58) (Video)
18. [Linear Discriminant functions for multi-class case; multi-class logistic regression](https://invisiblenetwork.ai/learn/nptel/117108048/d793540ab316) (Video)
19. [Learning and Generalization; PAC learning framework](https://invisiblenetwork.ai/learn/nptel/117108048/5b51198888b2) (Video)
20. [Overview of Statistical Learning Theory; Empirical Risk Minimization](https://invisiblenetwork.ai/learn/nptel/117108048/05058c61a944) (Video)
21. [Consistency of Empirical Risk Minimization](https://invisiblenetwork.ai/learn/nptel/117108048/22c0a06a3358) (Video)
22. [Consistency of Empirical Risk Minimization; VC-Dimension](https://invisiblenetwork.ai/learn/nptel/117108048/c997acc9b5e8) (Video)
23. [Complexity of Learning problems and VC-Dimension](https://invisiblenetwork.ai/learn/nptel/117108048/2d1bd0992609) (Video)
24. [VC-Dimension Examples; VC-Dimension of hyperplanes](https://invisiblenetwork.ai/learn/nptel/117108048/1c5e5e6f6551) (Video)
25. [Overview of Artificial Neural Networks](https://invisiblenetwork.ai/learn/nptel/117108048/68d7593a975a) (Video)
26. [Multilayer Feedforward Neural networks with Sigmoidal activation functions;](https://invisiblenetwork.ai/learn/nptel/117108048/960bb8949e29) (Video)
27. [Backpropagation Algorithm; Representational abilities of feedforward networks](https://invisiblenetwork.ai/learn/nptel/117108048/1281c52775e5) (Video)
28. [Feedforward networks for Classification and Regression; Backpropagation in Practice](https://invisiblenetwork.ai/learn/nptel/117108048/d0fb6a6eed31) (Video)
29. [Radial Basis Function Networks; Gaussian RBF networks](https://invisiblenetwork.ai/learn/nptel/117108048/046186ce5771) (Video)
30. [Learning Weights in RBF networks; K-means clustering algorithm](https://invisiblenetwork.ai/learn/nptel/117108048/77de7ac045b8) (Video)
31. [Support Vector Machines -- Introduction, obtaining the optimal hyperplane](https://invisiblenetwork.ai/learn/nptel/117108048/89e5d421b0b7) (Video)
32. [SVM formulation with slack variables; nonlinear SVM classifiers](https://invisiblenetwork.ai/learn/nptel/117108048/e6b9c2b73b85) (Video)
33. [Kernel Functions for nonlinear SVMs; Mercer and positive definite Kernels](https://invisiblenetwork.ai/learn/nptel/117108048/b33207e60b7a) (Video)
34. [Support Vector Regression and ?-insensitive Loss function, examples of SVM learning](https://invisiblenetwork.ai/learn/nptel/117108048/b25ce9e9c20b) (Video)
35. [Overview of SMO and other algorithms for SVM; ?-SVM and ?-SVR; SVM as a risk minimizer](https://invisiblenetwork.ai/learn/nptel/117108048/226cd46f2062) (Video)
36. [Positive Definite Kernels; RKHS; Representer Theorem](https://invisiblenetwork.ai/learn/nptel/117108048/d1f75c750447) (Video)
37. [Feature Selection and Dimensionality Reduction; Principal Component Analysis](https://invisiblenetwork.ai/learn/nptel/117108048/be87fdd05a70) (Video)
38. [No Free Lunch Theorem; Model selection and model estimation; Bias-variance trade-off](https://invisiblenetwork.ai/learn/nptel/117108048/e86d91a15e38) (Video)
39. [Assessing Learnt classifiers; Cross Validation;](https://invisiblenetwork.ai/learn/nptel/117108048/a49d1df8e3b3) (Video)
40. [Bootstrap, Bagging and Boosting; Classifier Ensembles; AdaBoost](https://invisiblenetwork.ai/learn/nptel/117108048/d7e4bb6f798f) (Video)
41. [Risk minimization view of AdaBoost](https://invisiblenetwork.ai/learn/nptel/117108048/41058806535e) (Video)