BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Oftentimes, it isn’t very obvious how the different records in datasets should be grouped. There may be patterns inside the data, but no predefined categories to tell us where each record belongs. Expectation Maximisation or EM for short, is an unsupervised machine...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Not all machine learning problems are about predicting a known outcome. Sometimes the more interesting question is whether something looks unusual when compared with everything else. This is the idea behind One Class Support Vector Machine (One Class SVM). Supported...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Large datasets can contain a huge amount of information, this does not always make analysis easier. In many cases, the challenge is finding a simpler way to represent the data while keeping the patterns that actually matter. Non Negative Matrix Factorisation (NMF) is...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...
