Statistics

Published on
April 1, 2024
Machine Learning Optimization - Stochastic Descent, Variance Reduction Techniques, and the Bias-Variance Tradeoff
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A dive into techniques and statistical background in machine learning optimization, with focus upon stochastic gradient descent, variance reduction techniques, and the bias-variance tradeoff.
Published on
December 1, 2023
Statistical Machine Learning - NBA Positional Classification
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LDA and Logistic Regreassion NBA Positional Classification Analysis
Published on
April 1, 2023
Statistical Design Of Experiments
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Statistical DOE - A Free Throw "Routine" Factor Screening