When I read Machine Learning papers, I ask myself whether the contributions of the paper fall under improvements to 1) Expressivity 2) Train... (more…)

This article is the 1st in a series dedicated to Machine Learning platforms. It was supported by Digital Catapult and PAPIs. (more…)

Let's figure out what digit is shown in an encrypted image without ever decrypting it. (more…)

A broad overview of the sub-field of machine learning interpretability; conceptual frameworks, existing research, and future directions. (more…)

They say great data is 95% of the problem in machine learning. We saw first hand at Udacity that this is the case, with the amazing reception from the machine learning community when we open sourced…