I try to consolidate my MLSS 2020 notes in small blog posts and hope you might also find them interesting. I don’t try to cover the complete lectures but rather pick some pieces that I find important when working or doing research in ML. I anticipate this... (more…)

Over the past few months I have been collecting the best resources on NLP and how to apply NLP and Deep Learning to Chatbots. Every once in awhile, I would run across an exception piece of content…

This project uses a laptop's built-in camera to identify various cereal and marshmallows. The computer then sorts them based on a model you train. A Circuit Playground Express communicates with the computer to decide when to sort which marshmallow/cereal ... (more…)

Organizations rely on machine learning engineers (MLEs) to operationalize ML, i.e., deploy and maintain ML pipelines in production. The process of operationalizing ML, or MLOps, consists of a continual loop of (i) data collection and labeling, (ii) experi... (more…)

Machine learning is a transformative tool that’s redefining how we build software—but up until now, it was only accessible to a small group of experts. At Adafruit, we think ... (more…)