Artificial Intelligence Task

Data Analysis & Trend Projection

Involves utilizing advanced algorithms, models, and statistical techniques to extract insights from large datasets, which can then be leveraged to inform decision-making and strategic thinking. It involves the use of historical data to identify patterns and relationships that can be used by models, depending on the prediction task, to pre-assign an expected numerical or categorical value to a future data point and make likelihood predictions.

Input

Historical data sets

Output

Insights, patterns, and future trend expectation boundaries, and predictions

Goal

To relate past performance to future trends

Learning Strategy

Statistical analysis, machine learning regression models, and time series forecasting

Evaluation Metric

Prediction accuracy, RMSE, MAPE

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