ML solutions
| ML solution | Description of use |
|---|---|
| Classification | Suitable for mapping data into two or more categories, each with its distinct attributes |
| Prediction | Suitable for producing a forward-looking numerical prediction (forecasting) or non-numerical prediction (classification) |
| Clustering | Suitable for separating data into classes or groups that are similar in some meaningful way |
| Outlier detection | Suitable for finding the items or events that significantly deviate from the expected pattern or other data considered normal in the data set |
| ML solution | Description of use |
|---|---|
| Classification | Suitable for mapping data into two or more categories, each with its distinct attributes |
| Prediction | Suitable for producing a forward-looking numerical prediction (forecasting) or non-numerical prediction (classification) |
| Clustering | Suitable for separating data into classes or groups that are similar in some meaningful way |
| Outlier detection | Suitable for finding the items or events that significantly deviate from the expected pattern or other data considered normal in the data set |