Machine learning has been applied to a series of different problems within the technology space. Most recently, the National Institute of Standards and Technology (NIST) has developed a sophisticated methodology to help with wireless network selection. Th... (more…)

This is a guest post by Dana Van Aken, Andy Pavlo, and Geoff Gordon of Carnegie Melon University. This project demonstrates how academic researchers can leverage our AWS Cloud Credits for Research Program to support their scientific breakthroughs. (more…)

Why are there so many machine learning techniques? The thing is different algorithms solve various problems. The results you get directly depend on the model you choose. That’s why it’s so important… (more…)

Using Depdentent and Affine Types for robust FPGA programming - ryanorendorff/sbtb-2020-type-safe-fpga... (more…)

non-overwhelming-machine-learning - A (non overwhelming) list of Machine Learning resources for beginners...