Spot number sequences, catch data anomalies, and explore correlations — learning how AI detects patterns in data, just like fraud detectors and stock market AIs!
AI finds rules in ordered data. Arithmetic, geometric, Fibonacci — recognising rules is the first step in prediction.
Find the odd one out! AI learns what "normal" looks like, then flags anything that deviates significantly.
When two things move together, they're correlated. AI uses correlation to discover hidden relationships in data.
Once the pattern is found, AI can predict what comes next — the basis of weather forecasting, stock prediction, and more!
You mastered sequences, anomaly detection, and correlation analysis!
A series with a mathematical rule. Arithmetic (add), Geometric (multiply), Fibonacci (sum previous two).
A data point that deviates significantly from the pattern. Used in fraud detection, quality control, and medical diagnosis.
When two variables change together. Pearson r measures this — from -1 (perfect negative) to +1 (perfect positive).
Ice cream sales and drowning both rise in summer — correlated, but neither causes the other. A common AI trap!
Once you know the rule, predict future values. Time series forecasting (stock prices, weather) all starts with pattern detection.
Real data always has noise — random variation. AI must find the pattern despite the noise, not just memorise it.