Playlist of my videos on Pattern Recognition
It consists of
1) Bayesian Decision theory
2)Gaussian Distribution (Visualizations)
3)Discriminant Functions
4)Bayesian Parameter Estimation
5)Maximum Likelihood Method
6) Maximum A Posterior Method
7)K-means
8)Gaussian Mixture Models
9)Non Parametric techniques
10)Parzen Windows
11)K-Nearest Neighbors
12)Principal Component Analysis
13)Linear Discriminant Analysis
14)Perceptron
15)Support Vector Machine
16)Intuition to Neural Networks
17)Decision Trees
18)Random forests