38:12
Summary+ Insights into the Final Exam
33:14
Introduction to Experimentation and Active Learning
25:42
Introduction to Experimentation and Active Learning(contd)
30:38
Clustering Analysis (contd)
20:26
An Introduction to Online Learning - Reinforcement Learning (contd)
10:12
An Introduction to Online Learning - Reinforcement Learning
15:43
Big Data - A small introduction (contd)
28:23
Clustering Analysis
18:42
Big Data, A small introduction
13:43
Association Rule Mining (contd)
08:28
Associative Rule Mining
16:23
Artificial Neural Networks(cont\'d)
29:53
Ensemble Methods and Random Forests
23:41
Artificial Neural Networks
13:51
Deep Learning
41:25
NPTEL MOOC IDA Tutorial for Assignment 3
31:11
Model Assessment and Selection
19:19
Support Vector Machines and Kernel Transformations
14:49
Support Vector Machines for Non Linearly Separable Data
17:25
Support Vector Machines(contd)
17:00
Support Vector Machines
24:02
Bias Variance Dichotomy
22:04
Classification and Regression Trees
20:05
Classification and Regression Trees(contd)
13:02
Logistic Regression
09:59
Training a Logistic Regression Classifier
21:17
NPTEL MOOC IDA - Tutorial for Assignment 2
33:38
Ordinary Least Squares Regression
18:21
Data Modelling and Algorithmic Modelling Approaches
19:59
Regularization/ Coefficients Shrinkage
40:25
Simple and Multiple Regression in Excel and Matlab
15:09
Unsupervised Learning
23:17
Supervised Learning
15:20
Introduction to Machine Learning
38:30
Short Introduction to Regression
43:06
ANOVA and Test of Independence
15:24
Confidence Intervals
14:25
Type 1 and Type 2 Errors
36:28
Two Sample tests
50:35
Inferential Statistics - Single sample tests
37:39
Inferential Statistics - Motivation
34:56
Probability Distributions(contd)
43:02
Probability Distributions(contd)
23:38
Random Variables and Probability Distributions
23:18
Descriptive Statistics - Measures of Dispersion
26:02
Descriptive Statistics - Measures of Central Tendency
28:58
Descriptive Statistics - Graphical Approaches
30:30
Course Overview (cont'd)
28:47
Course Overview
02:56
Introduction
02:56
Course Introduction
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