Lectures

Downloadable course lecture notes

Lecture 1 -- Introduction
Lecture 2 -- Decision Trees
Lecture 3 -- CART
Lecture 4 -- Association Rules
Lecture 5 -- Decision Rules
Lecture 6 -- Assessing Credibility
Lecture 7 -- Discretization
Lecture 8 -- Bayesian Learning
Lecture 9 -- Bayesian Networks
Lecture 10 -- Set Theory
Lecture 11 -- Unsupervised Learning I
Lecture 12 -- Unsupervised Learning II
Lecture 13 -- Ensemble and Numeric
Lecture 14 -- Neural Network I
Lecture 15 -- Neural Network II
Lecture 16 -- Neural Network III
Lecture 17 -- Text Mining basics
Lecture 18 -- Review Lecture

 

 

 


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