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NYU AI School 2021 | Bayesian Machine Learning NYU Lec 8
Machine Learning and Bayesian Inference - Lecture 10
Machine Learning and Bayesian Inference - Lecture 14
[8] Bayesian Inference by Dr. Tri Laksmana (STScI, USA)
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Last Updated: September 29, 2026
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Summary
I introduce cross-validation for hyperparameter selection, and start to consider statistical testing for comparing classifiers. We complete the material on assessing classifiers. We complete the discussion of SVMs, and start to address some issues around applying such methods in practice. If you have any copyright issues on video, please send us an email at khawar512 Top CV and PR Conferences: ... Cornell class CS4780. (Online version: tinyurl.com/eCornellML ) MIT RES.6-012 Introduction to Probability, Spring 2018 View the complete course: ocw.mit.edu/RES-6-012S18 Instructor: ... We return to the consideration of
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