Big Data, Large Scale Machine Learning

Big Data, Large-Scale Machine Learning

  • Instructors: John Langford, Microsoft Research, Yann LeCun, Courant Institute

CILVR Lab ,  NYU Center for Data Science 2013



videos collected by Xiang Zhang and produced by

Lecture 1

Lecture 2

  • 2nd order methods and analysis of convergence:
  • BFGS and Limited Storage BFGS:

Lecture 3

Lecture 4

Lecture 5

Lecture 6

Lecture 7

Lecture 8

  • Inverted Indicies and predictive indexing, hashing

Lecture 9

  • The ad problem, advertising placement and such (guest lecturer: Leon Bottou, Microsoft Research)

Lecture 10

Lecture 11

Lecture 12

  • Active Learning (John Langford)
  • Indexing (John Langford)

Lecture 13

  • Questions and Answers
  • Deep Learning in Text and Speech Recognition

Lecture 14

  • Many Classes, Logarithmic-Time Prediction

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