Machine Learning: Basics Explained
How do machines actually learn from data? Walk through the five stages of machine learning, then train your own model by labelling 20 items and watching accuracy climb in real time.
Animated ML Explainer
Click through the five stages of machine learning. Each stage reveals how data transforms into intelligence, with a real-world example to ground the concept.
Teach the Model Exercise
You are the data labeller. Classify each item into the correct category. After every 5 labels, watch the model's accuracy improve. Can you get it to 90%+?
Key insight: Machine learning isn't magic — it's pattern recognition at scale. The model is only as good as the data it learns from. Bad labels lead to bad predictions. This is why data quality is the single most important factor in any ML project, and why human oversight remains essential.