Discover how computers learn from data through interactive animations, real-time simulations, and hands-on experiments. No coding required!
Machine Learning is a type of artificial intelligence that allows computers to learn from data and improve their performance without being explicitly programmed.
In traditional programming, humans write explicit rules. The computer follows these rules to produce output.
In Machine Learning, the algorithm discovers rules from data. The computer learns patterns automatically!
Explore the three main types of machine learning through interactive simulations.
Learning from labeled examples. The model learns to map inputs to known outputs, like a student learning from a teacher.
Click on any algorithm to see an interactive demo and learn how it works.
Predict continuous values using a best-fit line
Make decisions using a tree of yes/no questions
Classify based on nearest neighbors
Group data into K distinct clusters
Find optimal boundary between classes
Probabilistic classifier using Bayes' theorem
Binary classification using sigmoid function
Deep learning inspired by the brain
Experience the model training process with this interactive simulation.
Test what you've learned with these interactive questions!
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