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Patterns, Predictions, And Actions A Story About Machine Learning, Moritz Hardt and Benjamin Recht

mlstory.org/index.html

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  • MachineLearningTheory

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Description:

Content:

Introduction
  • Ambitions of the 20th century
  • Pattern classification
  • Prediction and action
  • Chapter notes
Fundamentals of prediction
  • Modeling knowledge
  • Prediction from statistical models
  • Prediction via optimization
  • Canonical cases of likelihood ratio tests
  • Types of errors and successes
  • The Neyman-Pearson Lemma
  • Properties of ROC curves
  • Looking ahead: what if we don't know the models?
  • Decisions that discriminate
  • Chapter notes
  • Supervised learning
  • Sample versus population
Supervised learning
  • A first learning algorithm: The perceptron
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Posted by NaN_Loss 36 days ago

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