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…)

Building and understanding ML models is inherently visual. As opposed to classical software engineering, an ML model has no source code to inspect and debug. Instead we use statistics and visualizations to gain insight and inform our decisions. (more…)

Facebook just recently announced that they were hiring 3,000 people (on top of an existing 4,500) people to review images, videos, and posts for inappropriate content. From Popular Science: (more…)

This paper surveys the design approaches used in distributed machine learning (ML) platforms and proposes future research directions. This ... (more…)

We’re excited to announce the availability of two new versions of the AWS Deep Learning AMI: a Conda-based AMI with separate Python environments for deep learning frameworks created using Conda—a popular open source package and environment management tool... (more…)