Quick access to essential machine learning formulas and equations
We're compiling a comprehensive reference of machine learning formulas, including algorithm equations, loss functions, evaluation metrics, and statistical methods. Check back soon for your go-to ML formula guide!
Core equations for regression, classification, and clustering
MSE, cross-entropy, hinge loss, and more
Precision, recall, F1, ROC-AUC formulas
Hypothesis testing, confidence intervals, p-values
Gradient descent, Adam, momentum formulas
Bayes' theorem, probability distributions