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...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
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 Generalised...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Support Vector Machine (SVM) is a supervised machine learning algorithm that can be applied to both classification and regression problems. Its purpose is to detect patterns within data and make predictions by identifying the most effective boundary between different...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Exponential Smoothing is a forecasting algorithm used to analyse time based data and predict future values. It’s particularly useful when data is collected over regular intervals, such as daily sales figures, monthly revenue, or weekly demand. The algorithm works by...
