10^th World Machine Learning and Deep learning Conference

Online Fraud Detection

Identifying fraud Using By using a machine learning (ML) model and a sample dataset of credit card transactions, machine learning trains a model to detect fraud patterns. The model is self-learning, allowing it to adjust to fresh, uncharted fraud trends. The neural networks can fully adapt and can learn from patterns of acceptable conduct. These can recognize patterns of fraudulent transactions and adjust to changes in the behavior of typical transactions. The neural networks' decision-making process is incredibly quick and can take place in real time.