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...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Naive Bayes is a supervised machine learning algorithm consisting of three main types (Gaussian, Multinomial & Bernoulli). This probability-based algorithm is mainly used for classification tasks by using the relationships between different features to predict the...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Random Forest is a supervised machine learning algorithm used for both classification and regression tasks. It is based on the idea of combining multiple decision trees to produce a stronger and more reliable model. Instead of relying on a single tree, Random Forest...
