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New Microsoft Machine Learning Tools Target Alert Fatigue in Defender XDR Platform

Microsoft has begun out new AI-powered incident prioritization capabilities in Microsoft Defender alongside an expanded suite ...
IEEE

Pedestrian Dead Reckoning and Ultrawideband Fusion Positioning Algorithm Based on Adaptive Gradient Descent

Abstract: In order to address the challenges of unknown initial positions and accumulated long-distance positioning errors in pedestrian dead reckoning (PDR), as well as significant ranging errors ...
IEEE

SA-MARL: Novel Self-Attention-Based Multi-Agent Reinforcement Learning With Stochastic Gradient Descent

Abstract: In the rapidly advancing Reinforcement Learning (RL) field, Multi-Agent Reinforcement Learning (MARL) has emerged as a key player in solving complex real-world challenges. A pivotal ...
Learn With Jay on MSN

Mini-batch gradient descent in deep learning explained

Mini Batch Gradient Descent is an algorithm that helps to speed up learning while dealing with a large dataset. Instead of ...
Learn With Jay on MSN

Linear regression using gradient descent explained simply

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient ...