Machine-learning

Published on
September 13, 2025
Evaluating ML Models: Cross Validation, Confusion Matrix, Bias–Variance
Machine-Learning Model-Evaluation
Concise notes on cross validation, confusion matrices, sensitivity/specificity, and the bias–variance tradeoff for practical model evaluation.
Published on
September 13, 2025
Statistical Foundations of Machine Learning
Machine-Learning Statistics Linear-Regression Probability
Notes on mutual information, least squares, linear regression, R^2, F-statistics, p-values, multiple regression, t-tests, and ANOVA.

Evaluating ML Models: Cross Validation, Confusion Matrix, Bias–Variance