One big change is support for running trained machine learning models as part of Windows applications, taking advantage of local GPUs to accelerate machine learning applications.

If you’ve looked into GPU-accelerated machine learning projects, you’re certainly familiar with NVIDIA’s CUDA architecture. It also follows that you’ve checked the prices on… ...

Want to run machine learning models without setting up servers or installing heavy libraries? In this video, you’ll learn how to run ML models right inside your browser using tools like ...

Low-code machine learning is gaining popularity with tools like PyCaret, H2O.ai and DataRobot, allowing data scientists to run pre-canned patterns for feature engineering, data cleansing, model ...