by Gabriel Tam | Apr 4, 2026 | BTS Consulting, by Gabriel Tam
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 Consulting, by Gabriel Tam
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 Consulting, by Gabriel Tam
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...
by Gabriel Tam | Mar 14, 2026 | BTS Consulting, by Gabriel Tam
Clustering is an unsupervised machine learning technique that helps find natural groupings within a dataset. Instead of trying to predict a specific outcome, clustering focuses on identifying records that are similar to each other. Data points that share similar...
by Gabriel Tam | Mar 7, 2026 | BTS Consulting, by Gabriel Tam
Association rules are a type of unsupervised machine learning technique that helps find relationships between items in a dataset. Instead of predicting a specific outcome, the goal is to spot patterns that show how certain items or events tend to occur together. These...
