note 6: bayes decision rule
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Decision Theory; Generative and Discriminative Models 31 6 Decision Theory; Generative and Discriminative Models DECISION THEORY aka Risk Minimization [Today I’m going to talk about a style of classifier very di↵erent from SVMs. The classifiers we’ll cover in the next few weeks are based on probability.] [One aspect of probabilistic data is that sometimes a point in feature space doesn’t have just one class. Suppose your data is adult men and women with just one feature: their height. You want to train a classifier that takes in an adult’s height and…
related reading
- Classificationfairmlbook.org
- Bayes-Optimal Strategiesemergentmind.com
- Classification vs. Prediction – Statistical Thinkingfharrell.com
- A Course in Machine Learningciml.info
- Naive Bayes Classifiers - GeeksforGeeksgeeksforgeeks.org
- catoni_draft2.pdfocatoni.perso.math.cnrs.fr
- Bayesian Mindsetcold-takes.com
- Fundamentals of predictionmlstory.org
- Interpretations of Probability (Stanford Encyclopedia of Philosophy)plato.stanford.edu
- A Gentle Introduction to Bayes Theorem for Machine Learning - MachineLearningMastery.commachinelearningmastery.com
- note 7: gaussian discriminant analysis, qda, ldapeople.eecs.berkeley.edu
- The Value of Probabilistic Thinking: Spies, Crime, and Lightning Strikesfs.blog