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Overview of Challenges generative vs. discriminative learning learning from non-vectorial data beyond classification and regression distributed data mining machine learning bottlenecks intelligible models combining learning methods unsupervised learning comes of age more informed information access
VGA/Powerpoint LCD Problem ,[object Object],[object Object],[object Object],[object Object],[object Object]
Generative vs. Discriminative Machine Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Kernel Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Beyond Classification and Regression ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Distributed Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Full Auto:  Machine Learning  for the Masses ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Interpretable Models ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Ensemble Methods ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Unsupervised Learning ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]
Information Access ,[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object],[object Object]

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Machine Learning

  • 1. Overview of Challenges generative vs. discriminative learning learning from non-vectorial data beyond classification and regression distributed data mining machine learning bottlenecks intelligible models combining learning methods unsupervised learning comes of age more informed information access
  • 2.
  • 3.
  • 4.
  • 5.
  • 6.
  • 7.
  • 8.
  • 9.
  • 10.
  • 11.