articleTop 1% cited
A few useful things to know about machine learning
Communications of the ACM · 2012 · Vol. 55(10) · pp. 78–87
Pedro Domingos✉(Seattle University)
Abstract
Tapping into the "folk knowledge" needed to advance machine learning applications.
Machine Learning and Data ClassificationBayesian Modeling and Causal InferenceMachine Learning and AlgorithmsComputer scienceNeed to knowArtificial intelligenceMachine learningComputer security
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References
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Controlling the False Discovery Rate: A Practical and Powerful Approach to Multiple Testing
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On the Optimality of the Simple Bayesian Classifier under Zero-One Loss
Machine Learning · 1997 · 3,052 citations
An Empirical Comparison of Voting Classification Algorithms: Bagging, Boosting, and Variants
Machine Learning · 1999 · 2,628 citations
Causality: Models, Reasoning and Inference
The Philosophical Review · 2001 · 4,807 citations
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