# Pattern Recognition

- Institution: IIT Madras
- Department: Computer Science and Engineering
- Taught by: Prof. Sukhendu Das, Prof. C.A. Murthy
- Level: Undergraduate
- Language: English
- Subjects: Computer science, Engineering
- Source: [NPTEL](https://nptel.ac.in/courses/106106046)
- Licence: [CC BY-NC-SA](https://nptel.ac.in/faq) (Non-commercial use only.)
- Syllabus: [at the source](https://nptel.ac.in/courses/106106046)
- Who can watch: Tweens profiles and older (sources give no ratings; placed by Invisible Network from the source's own words)

## Lectures

1. [Principles of Pattern Recognition I (Introduction and Uses)](https://invisiblenetwork.ai/learn/nptel/106106046/faa472ce9a47) (Video)
2. [Principles of Pattern Recognition II (Mathematics)](https://invisiblenetwork.ai/learn/nptel/106106046/bffe1e8bcfc4) (Video)
3. [Principles of Pattern Recognition III (Classification and Bayes Decision Rule)](https://invisiblenetwork.ai/learn/nptel/106106046/d52cdf967272) (Video)
4. [Clustering vs. Classification](https://invisiblenetwork.ai/learn/nptel/106106046/4a34ae6075df) (Video)
5. [Relevant Basics of Linear Algebra, Vector Spaces](https://invisiblenetwork.ai/learn/nptel/106106046/6a9871ac7189) (Video)
6. [Eigen Value and Eigen Vectors](https://invisiblenetwork.ai/learn/nptel/106106046/6a38db62dbdd) (Video)
7. [Vector Spaces](https://invisiblenetwork.ai/learn/nptel/106106046/d17aa38615a0) (Video)
8. [Rank of Matrix and SVD](https://invisiblenetwork.ai/learn/nptel/106106046/424511a9c886) (Video)
9. [Types of Errors](https://invisiblenetwork.ai/learn/nptel/106106046/21dc7b09ecee) (Video)
10. [Examples of Bayes Decision Rule](https://invisiblenetwork.ai/learn/nptel/106106046/1c9ea3f1559d) (Video)
11. [Normal Distribution and Parameter Estimation](https://invisiblenetwork.ai/learn/nptel/106106046/e6ea031ba528) (Video)
12. [Training Set, Test Set](https://invisiblenetwork.ai/learn/nptel/106106046/fdbfa1c71e98) (Video)
13. [Standardization, Normalization, Clustering and Metric Space](https://invisiblenetwork.ai/learn/nptel/106106046/516c52f86951) (Video)
14. [Normal Distribution and Decision Boundaries I](https://invisiblenetwork.ai/learn/nptel/106106046/e00eebde8c90) (Video)
15. [Normal Distribution and Decision Boundaries II](https://invisiblenetwork.ai/learn/nptel/106106046/5a4c305ae828) (Video)
16. [Bayes Theorem](https://invisiblenetwork.ai/learn/nptel/106106046/fc9e39d0f668) (Video)
17. [Linear Discriminant Function and Perceptron](https://invisiblenetwork.ai/learn/nptel/106106046/7836d275c703) (Video)
18. [Perceptron Learning and Decision Boundaries](https://invisiblenetwork.ai/learn/nptel/106106046/a49f8f7f1e9f) (Video)
19. [Linear and Non-Linear Decision Boundaries](https://invisiblenetwork.ai/learn/nptel/106106046/71a7eaabf824) (Video)
20. [K-NN Classifier](https://invisiblenetwork.ai/learn/nptel/106106046/7091c6b855b7) (Video)
21. [Principal Component Analysis (PCA)](https://invisiblenetwork.ai/learn/nptel/106106046/56f34d69655e) (Video)
22. [Fisher’s LDA](https://invisiblenetwork.ai/learn/nptel/106106046/b3cf8e7b7c67) (Video)
23. [Gaussian Mixture Model (GMM)](https://invisiblenetwork.ai/learn/nptel/106106046/3898a126789d) (Video)
24. [Assignments](https://invisiblenetwork.ai/learn/nptel/106106046/1ebcff2fcaa5) (Video)
25. [Basics of Clustering, Similarity/Dissimilarity Measures, Clustering Criteria.](https://invisiblenetwork.ai/learn/nptel/106106046/93162e529f6b) (Video)
26. [K-Means Algorithm and Hierarchical Clustering](https://invisiblenetwork.ai/learn/nptel/106106046/ccda15eed0aa) (Video)
27. [K-Medoids and DBSCAN](https://invisiblenetwork.ai/learn/nptel/106106046/13c852193525) (Video)
28. [Feature Selection : Problem statement and Uses](https://invisiblenetwork.ai/learn/nptel/106106046/70e95fa336fa) (Video)
29. [Feature Selection : Branch and Bound Algorithm](https://invisiblenetwork.ai/learn/nptel/106106046/36e3e0bce382) (Video)
30. [Feature Selection : Sequential Forward and Backward Selection](https://invisiblenetwork.ai/learn/nptel/106106046/8e7df5c14e2d) (Video)
31. [Cauchy Schwartz Inequality](https://invisiblenetwork.ai/learn/nptel/106106046/992854d0ad2c) (Video)
32. [Feature Selection Criteria Function: Probabilistic Separability Based](https://invisiblenetwork.ai/learn/nptel/106106046/ad9ccfa1cb8c) (Video)
33. [Feature Selection Criteria Function: Interclass Distance Based](https://invisiblenetwork.ai/learn/nptel/106106046/0d9da22d4f2b) (Video)
34. [Principal Components](https://invisiblenetwork.ai/learn/nptel/106106046/803dc0c2bdcd) (Video)
35. [Comparison Between Performance of Classifiers](https://invisiblenetwork.ai/learn/nptel/106106046/b19e997e4477) (Video)
36. [Basics of Statistics, Covariance, and their Properties](https://invisiblenetwork.ai/learn/nptel/106106046/7b761a9a0d3e) (Video)
37. [Data Condensation, Feature Clustering, Data Visualization](https://invisiblenetwork.ai/learn/nptel/106106046/96788199a939) (Video)
38. [Probability Density Estimation](https://invisiblenetwork.ai/learn/nptel/106106046/a846210a02b5) (Video)
39. [Visualization and Aggregation](https://invisiblenetwork.ai/learn/nptel/106106046/0b3d32ecaaff) (Video)
40. [Support Vector Machine (SVM)](https://invisiblenetwork.ai/learn/nptel/106106046/75a634fee0af) (Video)
41. [FCM and Soft-Computing Techniques](https://invisiblenetwork.ai/learn/nptel/106106046/d21567aae2e3) (Video)
42. [Examples of Uses or Application of Pattern Recognition; And When to do clustering](https://invisiblenetwork.ai/learn/nptel/106106046/6b648c3cd300) (Video)
43. [Examples of Real-Life Dataset](https://invisiblenetwork.ai/learn/nptel/106106046/cdc0fd67bd22) (Video)