Timnit Gebru

Time Series Analysis involves examining data points collected sequentially over time to uncover underlying patterns such as trends, seasonal variations, and anomalies. This method is essential for forecasting future values, understanding seasonal behaviors, and making informed decisions in fields like finance, economics, and weather forecasting. It utilizes statistical techniques to model and interpret temporal data efficiently.