An interactive exploration of different vector norms and their geometric interpretations, with real-time visualizations of unit balls.
Explore Support Vector Machines with hard margins through an interactive visualization. Drag points and see how the decision boundary and margins adapt in real-time.
Visualize how QDA creates quadratic decision boundaries by interactively adding and moving data points. See real-time updates of class parameters and confidence ellipses.
Explore the deep connections between symmetric matrices, quadratic forms, eigendecomposition, and multivariate statistics through interactive visualizations.
Master the mathematics behind gradient descent and Newton's method with interactive visualizations. Explore convexity, convergence rates, and practical implementation details.