Here is a hint: For each class, along with the audio links, I had put a reasonably verbose description of topics covered in that class. If you read those descriptions, that should give you a "summary/review" of what happened. 
 
For example, here is the description of what happened in Lecture 10--directly from the notes page
L10  Audio  	    of [Feb  18, 2010] (***THE ADVANCED LSI LECTURE***) 	      Lengthy recap of LSI analysis; discussion of class blog 	      questions; discussion of relation between LSI and 	      feature selection (feature selection looks for just 	      subspaces of existing space); LSI and LDA (LDA takes the 	      "class" information into account LSI doesn't know what 	      classification you might be attempting); LSI and 	      nonlinear dimensionality reduction (one idea is to first 	      blow up the dimensionality and then find a 	      lower-dimensional hyperplane in this blown up space. So, 	      you might go from 20-D to 300-D and come down to 4-D).
 
Saturday, March 27, 2010
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