BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Linear Regression is one of the most widely used approaches for predicting numerical values. It works by examining the relationship between one or more input variables and a numerical outcome, then uses those relationships to make predictions. Because of its fairly...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Logistic Regression is a supervised machine learning algorithm used to predict the probability of an outcome belonging to a particular category. Unlike ordinary regression, which is generally used to predict numerical values, Logistic Regression is designed for...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
Ridge Regression is a machine learning algorithm used to predict numerical outcomes while assisting with situations where input variables are strongly related to one another. This can be a problem in traditional regression due to the highly correlated variables that...BTS Sales Engagement Hub, Oracle Artificial Intelligence (AI)
It’s often difficult to pinpoint the parts of the data which are most useful when analysing datasets. A machine learning technique that simplifies this issue by identifying important rows and columns within a dataset is CUR Matrix Decomposition. Like in Oracle...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), Oracle Consulting
Oracle SaaS applications provide organisations with a powerful foundation for managing their financial, operational, human resources, supply chain and other business processes. However, the value of enterprise data does not have to stop at recording transactions and...
