BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
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 prioritising results so that the most useful or...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
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...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Time series is a machine learning technique used to analyse 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...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
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...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
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...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
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...
