Artificial intelligence and machine learning have transformed how we process information, make decisions, and solve complex problems. Behind every ...

University of Virginia School of Data Science researcher Heman Shakeri has been awarded a major new research grant to lead work at the intersection of machine learning and diabetes care.

From fine-tuning open source models to building agentic frameworks on top of them, the open source world is ripe with ...

00 - PyTorch Fundamentals Many fundamental PyTorch operations used for deep learning and neural networks. Go to exercises & extra-curriculum Go to slides 01 - PyTorch Workflow Provides an outline for ...

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...

What if the key to unlocking faster, more efficient machine learning workflows lies not in your algorithms but in the hardware powering them? In the world of GPUs, where raw computational power meets ...

The AI revolution has begun. Position yourself on the leading edge of artificial intelligence education with master’s-level expertise in the most powerful technologies reshaping our world. The ...

Learn how to organize and structure your machine learning projects for real-world deployment. From directory layout to model versioning, data pipelines, and CI/CD integration — this guide will help ...

This is my capstone project for the Machine Learning Operations Zoomcamp, which is a free, online course offered by DataTalks.Club. Photo by Drahomír Hugo Posteby-Mach on Unsplash. The purpose of this ...