I co-created Graph Neural Networks while at Stanford. I recognized early on that this technology was incredibly powerful.

Recently, counterfactual learning on graphs has shown promising results in alleviating these drawbacks. Various approaches have been proposed for counterfactual fairness, explainability, link ...

Google rolled out similar measures for YouTube earlier this week, and now the company is experimenting with machine learning-based age gating in the U.S. for Google accounts at large.

Quantum machine learning takes classical data and encodes it in quantum states. The quantum computer can then uncover patterns in the data that would be hard for classical systems to detect.

Liu, X., Kong, L., & Oh, S. (2022). High-Dimensional Differentially Private Stochastic Gradient Descent. Journal of Machine Learning Research, 23, 1-39.

Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as ...

Artificial intelligence (AI) refers to machine-based systems that analyze input data to generate predictions, recommendations, or decisions, 1 AI-based and machine learning (ML)-based technologies ...

Typical Azure Machine Learning Project Lifecycle (source: Microsoft). At the upcoming Visual Studio Live! @ Microsoft HQ 2025 conference in Redmond, Eric D. Boyd, founder and CEO of responsiveX, will ...