Data Science


ZOOM   SLIDES
Jan 05     Preface
Jan 07     Python
Jan 10     Data Sources
Jan 12     Project A
Jan 14     Python 2
Jan 19     Statistics 1
Jan 21     Assignment 1 web scraping
Jan 24     Central Limit
Jan 26     Shuffle
Jan 26     Bootstrap
Jan 31     Stats2
Feb 02     A1 review + tools
Feb 02     Distances
Feb 07     Clustering     space partition kmeans
Feb 09     Assignment 2 distributions
Feb 09     kmeans (5 min no sound)
Feb 14     Python 3    
Feb 16     PCA
Feb 16     Regression
Feb 21     KDE
Feb 23    
Feb 23     Sample test
Feb 28     Discussion
Mar 02     Test 1
Mar 02     Test 1

Mar 14     Assignment 3 PCA, fastICA
Mar 16     big picture
Mar 16     anova , MAP
Mar 21     time series
Mar 23     MapReduce
Mar 23     MinHash (similar)
Mar 28     Bloom Filters (stream processing)
Mar 30     PageRank
Mar 30     Text mining
Assignment 4 Classification
Apr 04     visualization ,
Apr 06     classification
Apr 06     Neural
Apr 11     sample Test
Apr 13     histogram   Test 2 (in class)
Apr 13     seating Q+A
Apr 18     Project presentations
Apr 20     Project presentations
no     final exam     grades
project instructions project feedback
.