ML Math Lab: Interactive Math Visualizations
A professional suite to explore foundational mathematics powering AI and Machine Learning.
PCA Visualizer
Explore Principal Component Analysis interactively. Visualize dimensionality reduction and variance explained.
Gradient Descent Playground
Visualize and experiment with gradient descent, loss surfaces, and optimization paths.
Entropy and Cross-Entropy Explorer
Understand entropy, cross-entropy, and KL divergence with interactive probability distributions.
Central Limit Theorem Simulator
See how the distribution of sample means approaches normality for various distributions.
Naive Bayes Email Classifier
Classify emails as spam or ham using a transparent, interactive Naive Bayes model. Explore word contributions and model metrics.
A/B Test Analyzer
Compare conversion rates or averages with Z and T tests. Visualize confidence intervals, p-values, and statistical power.
Similarity Search with Cosine Distance
Find and compare similar items using cosine similarity. Explore vector spaces and high-dimensional geometry.
MLE Distribution Fitting Tool
Fit distributions (Normal, Poisson, Exponential) to data using Maximum Likelihood Estimation and visualize the best-fit curve.
Bias-Variance Tradeoff Demo
Explore model complexity vs generalization by plotting training and test errors across polynomial degrees.
Logistic Loss Landscape
Understand Logistic Regression and visualize the 3D loss surface for logistic regression.
Interactive Bayes' Theorem Simulator
Adjust priors, sensitivity, and specificity in real-time to simulate medical test outcomes.
Distance Metric Visualizerr
Compare distance metrics (Euclidean, Manhattan, Cosine, Minkowski) and see how decision boundaries change with each.