The advent of machine learning and artificial intelligence (AI) has proven to be a critical asset in the fight against crime, giving us the upper hand. But who will prevail when these same tools are used by cybercriminals?
A Naive Bayes Classifier is a supervised machine-learning algorithm that uses the Bayes’ Theorem, which assumes that features are statistically independent. The theorem relies on
Previously in this series, we have looked at decision trees and random forests, two types of supervised learning algorithms. Supervised algorithms are trained with data that
Machine Learning Algorithms Explained – Random Forests Random Forests are supervised ensemble-learning models used for classification and regression. Ensemble learning models aggregate multiple machine learning
Fraud Detection by Stacking Cost-Sensitive Decision Trees Recently, we published a research paper showing how it is possible to detect fraudulent credit card transactions with
Machine Learning Algorithms Explained – Decision Trees A Decision Tree is a supervised predictive model that can learn to predict discrete or continuous outputs by