Saurabh Singh - VideoAndMovie

VERY INTUITIVE LECTURES ON VARIOUS TOPICS ON COMPUTER VISION/PATTERN RECOGNITION/AI

Support Vector Machine with Maths Behind

12:32

Support Vector Machine with Maths Behind

Principal Component Analysis (PCA) with Maths Behind

10:07

Principal Component Analysis (PCA) with Maths Behind

Arrays and Functions with Pointer

1:44:29

Arrays and Functions with Pointer

Do you think logically or statistically ?

3:17

Do you think logically or statistically ?

Confidence Interval with Example

22:10

Confidence Interval with Example

Introduction to Hidden Markov Model

37:33

Introduction to Hidden Markov Model

Bayes Theorem Numerical Examples (Covid 19)

7:58

Bayes Theorem Numerical Examples (Covid 19)

Prim's Algorithm with C Code

15:02

Prim's Algorithm with C Code

Matrix Chain Multiplication (Dynamic Programming)

16:15

Matrix Chain Multiplication (Dynamic Programming)

Solving Recurrence Relations (Recursive Tree Method)

11:36

Solving Recurrence Relations (Recursive Tree Method)

Analysis of Iterative Algorithms

18:17

Analysis of Iterative Algorithms

Competitive problems in pointers

41:24

Competitive problems in pointers

Introduction to Artificial Intelligence and Gaming

12:42

Introduction to Artificial Intelligence and Gaming

Pointers in C

23:35

Pointers in C

K-NN Classification

10:33

K-NN Classification

Introduction to pattern recognition final

16:18

Introduction to pattern recognition final

Clustering

37:24

Clustering

Gaussian2

7:19

Gaussian2

Gaussian4

5:29

Gaussian4

State Space, Heuristic Functions and Search Strategies new

11:22

State Space, Heuristic Functions and Search Strategies new

Water Jug Problem

20:05

Water Jug Problem

POINTER EXAMPLE SWP

7:41

POINTER EXAMPLE SWP

POINTER LECTURE2 FINAL

5:32

POINTER LECTURE2 FINAL

POINTER LECTURE 1

11:04

POINTER LECTURE 1

knn fINAL

2:50

knn fINAL

k means

10:51

k means

Bayes classification

14:16

Bayes classification

Principal Component Analysis (PCA)

22:56

Principal Component Analysis (PCA)

Introduction to Pattern recognition Lec 1

16:11

Introduction to Pattern recognition Lec 1

LDA

5:52

LDA