• Corpus ID: 231861405

Patterns, predictions, and actions: A story about machine learning

  title={Patterns, predictions, and actions: A story about machine learning},
  author={Moritz Hardt and Benjamin Recht},
This graduate textbook on machine learning tells a story of how patterns in data support predictions and consequential actions. Starting with the foundations of decision making, we cover representation, optimization, and generalization as the constituents of supervised learning. A chapter on datasets as benchmarks examines their histories and scientific bases. Self-contained introductions to causality, the practice of causal inference, sequential decision making, and reinforcement learning… 
Machine learning in the social and health sciences
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Are We Learning Yet? A Meta Review of Evaluation Failures Across Machine Learning
  • Thomas Liao
  • Computer Science
    NeurIPS Datasets and Benchmarks
  • 2021
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Generic Lp bounds that hold for any causal (stabilizing) controllers and any stochastic disturbances, by an information-theoretic analysis are derived.