Linear Discriminant Functions For Multi Class Case; Multi Class Logistic Regression Exam Study Material for Gate ECE

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Convergence Analysis (Mean Square) Contd	lec10	01:02 to 12:28	PDF	VIDEO
Convergence Analysis (Mean Square) Contd	lec10	12:28 to 19:09	PDF	VIDEO
Introduction to Stochastic Processes	lec2	41:44 to 48:15	PDF	VIDEO
Introduction to Stochastic Processes	lec2	48:15 to upto	PDF	VIDEO
Introduction to Linear Prediction	lec21	39:41 to upto	PDF	VIDEO
Lattice Filter	lec22	01:50 to 25:10	PDF	VIDEO
Stochastic Processes (Contd.)	lec3	53:31 to upto	PDF	VIDEO
Correlation Structure	lec4	01:38 to 08:50	PDF	VIDEO
FIR Wiener Filter (Real)	lec5	18:00 to 30:27	PDF	VIDEO
Convergence Analysis (in Mean)	lec8	15:05 to 24:50	PDF	VIDEO

Logistic Regression; Statistics of Least Squares Method; Regularized Least Squares	lec17	14:32 to 18:13	PDF	VIDEO
Linear Discriminant functions for Multi-Class Case; Multi-Class Logistic Regression	lec19	13:51 to 15:53	PDF	VIDEO
Linear Discriminant functions for Multi-Class Case; Multi-Class Logistic Regression	lec19	15:53 to 17:46	PDF	VIDEO
Linear Discriminant functions for Multi-Class Case; Multi-Class Logistic Regression	lec19	17:46 to 20:39	PDF	VIDEO
Linear Discriminant functions for Multi-Class Case; Multi-Class Logistic Regression	lec19	20:39 to 23:33	PDF	VIDEO
Linear Discriminant functions for Multi-Class Case; Multi-Class Logistic Regression	lec19	26:44 to 30:15	PDF	VIDEO
Overview of Pattern Classifiers	lec2	23:30 to 25:27	PDF	VIDEO
Radial Basis Function Networks; Gaussian RBF networks	lec30	16:40 to 18:37	PDF	VIDEO
Bayes Decision Theory Binary Features	lec9	00:41 to 04:20	PDF	VIDEO
Bayes Decision Theory Binary Features	lec9	04:20 to 10:11	PDF	VIDEO