EDA Dimensionality Reduction: Find the Best Method for Your Data jbower, June 25, 2024June 25, 2024 Understanding Non-Linear Dimensionality Non-linear dimensionality reduction is like discovering hidden paths in a complex forest. It reduces the number of dimensions in a dataset while capturing intricate, non-linear relationships among the features. Unlike linear methods that assume straight-line relationships, non-linear methods uncover more intricate patterns, which is crucial in cybersecurity,… Continue Reading
Anomaly Detection Improved Anomaly Detection in Cybersecurity using Model Cascading jbower, June 9, 2024November 7, 2024 Model cascading in cybersecurity involves using a sequence of machine learning models to detect anomalous behavior in network traffic or user activity. The process starts with an initial general model that flags uncertain or potentially anomalous instances. These flagged instances are then passed to more specialized models that focus on… Continue Reading