Maximising contrast when exploring high dimensionality data: Supervised Principal Components
Principal Components Analysis (PCA) and its sibling Singular Value Decomposition (SVD) are commonly-used dimensionality reduction tools that can dramatically improve the performance of supervised and unsupervised Machine Learning algorithms. They are also very useful in exploratory data analysis to expose…....
By Vanita PandeyTechnology | 19 Feb 2020
This Valentine’s Day Maximize Sales, Minimize Fraud
Striking fraud at the root—its economic viability—will help ecommerce platforms maximize revenues and customer trust while keeping fraudsters at bay this Valentine's Day shopping period Digital commerce has been on an upswing, contributing a major chunk of sales during online…....
By Vanita PandeyFraud | 14 Feb 2020
Asymmetric Information Warfare: A Constant Battle of Attrition
By Gerald HartigTechnology | 12 Feb 2020
Treat Yourself to Long-Term Fraud Prevention this Holiday Season
By Kevin GosschalkNews | 19 Dec 2019