1.1. Linear Models — scikit-learn 1.3.1 documentation
Least squares - Wikipedia
5.4 - p-values | STAT 200
Frontiers | Common statistical concepts in the supervised Machine Learning arena
Mathematics | Free Full-Text | Ensemble Methods in Customer Churn Prediction: A Comparative Analysis of the State-of-the-Art
Understanding Type-I and Type-II Errors in Hypothesis Testing | by Deepak Chopra | Talking Data Science | Towards AI
1.2. Linear and Quadratic Discriminant Analysis — scikit-learn 1.3.1 documentation
How to understand p-value in layman terms? | by Tanu Seth | Towards Data Science
Generalized Linear Model (GLM) — H2O 3.42.0.4 documentation
Regularization Technique in Linear Model - Analytics Vidhya
An Introduction to `glmnet` • glmnet
Understanding Regularization in Machine Learning | by Ashu Prasad | Towards Data Science
Effect of Regularization in Neural Net Training | by Apurva Pathak | Deep Learning Experiments | Medium
Three types of incremental learning | Nature Machine Intelligence
Symmetry | Free Full-Text | Feedforward Neural Networks with a Hidden Layer Regularization Method
Common statistical methods - Combine
An Introduction to `glmnet` • glmnet
Statistical Significance: P-Value and Confidence Interval | by Olabode James | Medium
Regularization Technique in Linear Model - Analytics Vidhya
Regularized Second-Order Møller–Plesset Theory: A More Accurate Alternative to Conventional MP2 for Noncovalent Interactions and Transition Metal Thermochemistry for the Same Computational Cost | The Journal of Physical Chemistry Letters
An Introduction to `glmnet` • glmnet
Generalized Linear Model (GLM) — H2O 3.42.0.4 documentation
Estimating a P-value from a simulation (video) | Khan Academy
