Gated Recurrent Unit

  Gated Recurrent Unit M K Sumana   In this article we will be discussing about GRUs, which are simple alternatives to LSTMs. We will learn about their architecture, working, their advantages over LSTMs, their pros and cons and applications. Recurrent Neural Networks...

Privacy Preserved Machine Learning

  Privacy Preserved Machine Learning   Privacy-Preserving Machine Learning is a step-by-step approach to preventing data leakage in machine learning algorithms. Large-scale data collection practices can lead to Exposure of sensitive personal information, Algorithmic...

Fraud Detection

  Fraud Detection   Fraud Detection Using Machine Learning deploys a machine learning (ML) model and an example dataset of credit card transactions to train the model to recognize fraud patterns. Gradient Boosting Machine for credit card fraud detection Input: A...

Generative adversarial networks

  Generative adversarial networks   In this article, we will explore the concept of Generative Adversarial Networks (GANs), their components, working mechanisms, and various types. We will then delve into how GANs can be implemented for credit card fraud detection,...