Core ML Concepts · intermediate · concept 26 of 176

🧠Time Series Forecasting

Predicting future values based on historical temporal data. Traditional methods (ARIMA) are being augmented by deep learning (LSTMs, Transformers). Critical for finance, weather, and demand planning. Stationarity, whether the series' statistics drift over time, decides which methods are even valid.