The truth about Google Ads recommendations (and auto-apply)

Understand how to use Google Ads recommendations so you can spot what helps, ignore what doesn’t, and keep your account safe.
IEEE

On the Convergence of Decentralized Stochastic Gradient Descent With Biased Gradients

Abstract: Stochastic optimization algorithms are widely used to solve large-scale machine learning problems. However, their theoretical analysis necessitates access to unbiased estimates of the true ...
Hosted on MSN

How to Implement Stochastic Gradient Descent with Momentum in Python

Learn how to implement SGD with momentum from scratch in Python—boost your optimization skills for deep learning. Crockett on Greene’s resignation: ‘You’ve got to be kidding me’ Pirro’s charging ...
Nieman Journalism Lab

Want to fight misinformation? Teach people how algorithms work

In an era dominated by social media, misinformation has become an all too familiar foe, infiltrating our feeds and sowing seeds of doubt and confusion. With more than half of social media users across ...
Scientific American

The Math Trick Hidden in Your Credit Card Number

You’re at the checkout screen after an online shopping spree, ready to enter your credit card number. You type it in and instantly see a red error message ...
Time

How the Secret Algorithms Behind Social Media Actually Work

Ever wondered how social media platforms decide how to fill our feeds? They use algorithms, of course, but how do these algorithms work? A series of corporate leaks over the past few years provides a ...
Quanta Magazine

New Method Is the Fastest Way To Find the Best Routes

If you want to solve a tricky problem, it often helps to get organized. You might, for example, break the problem into pieces and tackle the easiest pieces first. But this kind of sorting has a cost.
Visual Studio Magazine

Linear Support Vector Regression Using C# with Particle Swarm Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
Frontiers

Federated learning-based multimodal approach for early detection and personalized care in cardiac disease

Introduction: Heart disease remains a leading cause of mortality globally, and early detection is critical for effective treatment and management. However, current diagnostic techniques often suffer ...
Visual Studio Magazine

Linear Support Vector Regression from Scratch Using C# with Evolutionary Training

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector regression (linear SVR) technique, where the goal is to predict a single numeric ...
IEEE

A Survey of Neural Network Optimization Algorithms

Abstract: This paper aims to explore seven commonly used optimization algorithms in deep learning: SGD, Momentum-SGD, NAG, AdaGrad, RMSprop, AdaDelta, and Adam. Based on an overview of their theories ...