HOMEWORK


Number Type Topic TA-in-charge Date out Date due Link(s)
1 Blackboard Course Policies Fatima 01-15-2014 01-21-2014, 10AM link
2 Autolab Hello Python/Java Seth & Daniel 01-15-2014 01-21-2014, 10AM link
3 Autolab Hello Matlab Seth & Daniel 01-15-2014 01-21-2014, 10AM link
4 Autolab  Concept Learning Fatima 01-22-2014 01-29-2014, 11:59PM link
5 Blackboard Information Theory Sujay 01-31-2014 02-05-2014, 11:59PM link
pdf
6 Autolab Decision Trees

Seth 02-11-2014 02-17-2014, 11:59PM link
7

Blackboard Probability, Statistics, and Linear Regression Fatima 02-25-2014 03-03-2014, 11:59PM  pdf
8

Autolab Neural Networks Kartik 02-28-2014 03-16-2014, 11:59PM pdf files
9 Blackboard Hypothesis Testing, ML Estimator, and MAP EstimatorDaniel03-26-201404-02-2014, 11:50PMpdf
 
10 Autolab Naive Bayes Seth Flaxman 04-03-201404-09-2014, 11:59PMpdf files
11AutolabHidden Markov Models Sujay04-21-201404-28-2014, 11:59PMlink
 

Comments