by Gabriel Tam | Apr 18, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Ranking is a machine learning technique used to order items based on their relevance, importance, or likelihood of a particular outcome. Rather than simply predicting a value or assigning a category, ranking focuses on prioritizing results so that the most useful or...
by Gabriel Tam | Apr 11, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Row importance is a machine learning technique used to identify which individual records in a dataset are the most significant or influential. While many techniques focus on the importance of variables, row importance shifts the focus to the data points themselves. It...
by Gabriel Tam | Apr 4, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Time series is a machine learning technique used to analyze and predict data that is collected over time. Unlike other approaches that treat data as independent observations, time series focuses on the order and timing of data points. This makes it especially useful...
by Gabriel Tam | Mar 28, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Regression is a supervised machine learning technique used to predict continuous values based on patterns in data. Unlike classification, which assigns data into categories, regression focuses on estimating numerical outcomes. It looks at the relationship between...
by Gabriel Tam | Mar 21, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub
Attribute importance is a machine learning technique used to determine which variables in a dataset have the greatest influence on a given outcome. While many datasets contain a large number of features, not all of them contribute equally to predictions. Attribute...
