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Optimization and Data Science: Lecture 16: Optimization and Statistic
Thomas Slawig
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1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
MIT OpenCourseWare
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Sampling for Linear Algebra, Statistics, and Optimization I
Simons Institute for the Theory of Computing
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Lecture 16: Intro to Generalized Linear Models (GLMS)
Scientific Computing and Artificial Intelligence
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