BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Finding significant data groups within datasets can be a challenge, especially when there are no predefined categories to work with. O Cluster, short for Orthogonal Partitioning Clustering, is an unsupervised machine learning algorithm developed by Oracle to...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Understanding text can be a difficult task for computers. While people can easily recognise the meaning behind words and phrases, computers need methods that assists them interpret language in a meaningful way. Explicit Semantic Analysis, also referred to as ESA, is a...Oracle Artificial Intelligence (AI), BTS Sales Engagement Hub
Singular value decomposition is an unsupervised machine learning technique used primarily for feature extraction and the transformation of high dimensional data into a lower dimensional space whilst keeping meaningful data properties (dimensionality reduction). When...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
As datasets continue to grow in size and complexity, analysing every variable can quickly become challenging. Many datasets contain hundreds or even thousands of features, some often provide similar information. Principal Component Analysis, also known as PCA, is an...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
When working with large amounts of data, one of the hardest challenges is not knowing where to start. Data can contain thousands to millions of records, and without clear labels, it can be difficult to understand how those records relate to one another. K-Means...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
When analysing large datasets, some of the most valuable insights come from discovering relationships that might otherwise go unnoticed. This is where the Apriori algorithm comes in. Supported within Oracle Machine Learning, it is an unsupervised algorithm designed to...
