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Juliet Hougland, Data Scientist, Cloudera

on YouTube 22m
Talkat MLconf NYC 2015 · on Friday, 2015-03-27· [machine-learning, distributed-systems]

speaker

name:Juliet Hougland
links:none on file

resources

video:https://youtu.be/jA59cluegVE
slides:none on file

summary

Compares three open-source distributed eigen/SVD implementations—Mahout’s LanczosSolver, Mahout’s StochasticSVD, and Spark MLLib’s SVD—for large matrices that don’t fit in a single machine’s memory. Covers real-world tradeoffs in accuracy and performance (beyond algorithmic FLOPs) and gives guidelines for selecting an implementation based on accuracy, performance, and scale requirements.

AI-written summary · about

chapters (4)

  1. 0:00Start
  2. 2:52Define SVD
  3. 9:36Stochastic SVD
  4. 11:49Frameworks

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