Liquid Neural Networks

  Liquid Neural Networks   “This is a way forward for the future of robot control, natural language processing, video processing — any form of time series data processing,” says Ramin Hasani, the lead author of the study in MIT which led to the development of LNNs. A...

Explainable AI

  Explainable AI   This article delves into the concept of Explainable AI (XAI), a set of techniques and methods designed to make the outputs of machine learning models understandable and reliable for human users. We will explore why explainability is essential,...

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...