by Gabriel Tam | Feb 28, 2026 | BTS Consulting, by Gabriel Tam
Anomaly detection is an unsupervised machine learning technique that identifies observations which differ significantly from most of the data. Unlike supervised methods such as classification or regression, anomaly detection does not need labelled outcomes. Instead,...
by Gabriel Tam | Feb 21, 2026 | BTS Consulting, by Gabriel Tam
Previously, we discussed about what feature extraction is and the algorithms that support it. In this post, the focus shifts to why feature extraction is so useful in real world machine learning scenarios. Drawing from Oracle Machine Learning documentation, feature...
by Gabriel Tam | Feb 14, 2026 | BTS Consulting, by Gabriel Tam
Machine learning projects are most successful when they follow a structured and repeatable process. Oracle Machine Learning adopts a well defined lifecycle that guides projects from the initial business problem through to deployment in a production environment. This...
by Gabriel Tam | Feb 7, 2026 | BTS Knowledge Hub, by Gabriel Tam
Previously the supported algorithms of the three main supervised machine learning techniques were covered. In this post, the supported algorithms of the unsupervised ML techniques will be covered. By definition, these algorithms analyze data without predefined labels...
by Gabriel Tam | Jan 31, 2026 | BTS Consulting, by Gabriel Tam
An algorithm is a step-by-step procedure designed to perform a specific task or solve a certain problem. It involves a sequence of instructions that lead to the outcome. Supervised machine learning algorithms, on the other hand, are slightly different. These are, by...
