Все публикации

0:30:16

Generative model-based algorithm

0:29:16

Naive Bayes algorithm

0:23:34

Generative and Discriminative Models

0:25:28

Introduction to Decision Trees

0:36:55

W6L4_ Ledger and Average Days of Inventory

0:15:29

Characteristics of Lasso regression

0:27:22

Relation between solution of linear regression and ridge regression

0:09:53

Ridge regression

0:16:09

Bayesian Modeling for linear regression

0:20:13

Cross-validation for minimizing MSE

0:11:48

Goodness of Maximum Likelihood Estimator for linear regression

1:18:05

LIVE _ Training and Placement Session by IIC team

0:13:00

W5L4.2_Review of Data

0:31:42

W5L6_Revenue Pareto and Scatter Plot

0:15:13

Probabilistic view of linear regression

0:25:17

Gradient descent

0:13:17

Geometric interpretation of linear regression

0:07:46

Supervised Learning

0:17:08

Linear Regression

0:31:07

Estimating the parameters

0:36:49

Bayesian estimation

0:14:31

Likelihood of GMM

0:15:26

Convex functions and Jensen's inequality

0:26:58

Maximum Likelihood Estimation