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How is Singular Value Decomposition Implemented in Oracle Machine Learning

How is Singular Value Decomposition Implemented in Oracle Machine Learning

by Gabriel Tam | Jul 18, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge 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...
Principal Component Analysis

Principal Component Analysis

by Gabriel Tam | Jul 11, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

As datasets continue to grow in size and complexity, analyzing 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...
K-Means and its Functions

K-Means and its Functions

by Gabriel Tam | Jul 4, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

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...
How does Apriori Work and Benefit Businesses

How does Apriori Work and Benefit Businesses

by Gabriel Tam | Jun 27, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

When analyzing 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...
The Use Cases of Generalized Linear Model in Oracle Machine Learning

The Use Cases of Generalized Linear Model in Oracle Machine Learning

by Gabriel Tam | Jun 20, 2026 | BTS Artificial Intelligence (AI), BTS Knowledge Hub

When people think about machine learning, they often focus on advanced algorithms such as neural networks or random forests. However, some of the most useful predictive models are built upon well established statistical techniques. One example is the Generalized...
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