Class meeting for 10-605 Randomized

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This is one of the class meetings on the schedule for the course Machine Learning with Large Datasets 10-605 in Fall_2015.


Slides

Comment: I'm going to start off with a few slides related to the upcoming assignment on MF with Spark.

Supplement:

Optional Readings

Key things to remember

  • The API for the randomized methods we studied: Bloom filters, LSH, CM sketches
  • What are the key tradeoffs associated with these methods, in terms of space/time efficiency.
  • What guarantees are possible, and how space grows as you require more accuracy.