CS290D - Schedule home | schedule | project | readings 

Weeks Topics My lab Student Presenter (45min) Notes
Week 1 (04/1/2014) Introduction      
Week 1 (04/3/2014) Frequent Pattern, Association Rule     Project brainstorming starts
Week 2 (04/8/2014) Classification I/Bayesian Networks      
Week 2 (04/10/2014) Classification II/Random Forest Yang Li    
Week 3 (04/15/2014) Linear Regression Fangqiu Han    
Week 3 (04/17/2014) Clustering I     HW1 out
Week 4 (04/22/2014) Clustering II      
Week 4 (04/24/2014) Text and Web Mining I      
Week 5 (04/29/2014) Text and Web Mining II     Proposal report due
Week 5 (05/1/2014) Similarity Search     HW1due
Week 6 (05/6/2014) Mixture Model/EM Huan Sun  
Week 6 (05/8/2014) Midterm      
Week 7 (05/13/2014) Collaborative Filtering      
Week 7 (05/15/2014) Feature Selection Yang Li    
Week 8 (05/20/2014) Dimension Reduction Yu Su    
Week 8 (05/22/2014) Kernel Methods Yu Su    
Week 9 (05/27/2014) Neural Networks Huan Sun    
Week 9 (05/29/2014) Deep Learning Fangqiu Han    
Week 10 (06/3/2014) Project presentation/demo      
Week 10 (06/5/2014) Project presentation/demo      
         
Week 11 (06/10/2014) No Class     Final report due