A big challenge in neuroscience is understanding how the brain encodes information. Neural networks are turning out to be great code crackers.

Machine learning, concluded: Did the “no-code” tools beat manual analysis? In the finale of our experiment, we look at how the low/no-code tools performed.

This review explores the application of machine learning techniques in precision education, highlighting their potential to enhance personalized learning experiences.

Objective This study reviewed the current state of machine learning (ML) research for the prediction of sports-related injuries. It aimed to chart the various approaches used and assess their efficacy ...

I searched and prototyped for low-code and no-code platforms that would enable technology teams to spike and experiment with machine learning capabilities. I focused mainly on low-code application ...

Machine-learning algorithms find and apply patterns in data. And they pretty much run the world.

Microsoft dev teams for Azure Machine Learning (Azure ML) and Visual Studio Code have improved the developer experience in the super-popular, open source-based, cross-platform code editor.