— Insight —
"Just as SaaS ushered in a novel economic model compared to on-premise software, we believe AI is creating an essentially new type of business."
Nice rabbit hole! Explore modern mathematics and how its major elements fit together in this interactive project from Quanta Magazine.
— Profiles —
Karen Hao spent half a year digging into OpenAI, one of the leading AI research labs in the world. The lab is intended to "ensure that artificial general intelligence benefits all of humanity." Following dozens of interviews, here's Karen's inside look at how that's going.
— Tools and Techniques —
After attempting to reproduce results from 255 papers (!), Edward Raff, Chief Scientist at Booz Allen, distilled 26 key features of reproducibility. What makes a machine learning paper reproducible? Read this!
Nice introduction to a few projects that are worth being familiar with.
This interactive post by Kristoffer Magnusson is a great explainer of maximum likelihood estimation and some common hypotheses tests, such as the likelihood ratio test, Wald test, and Score test.
Join tens of thousands of data scientists worldwide who use Comet.ml Automatically track, compare, explain and reproduce your ML models and experiments. Sign-up for free.
— Resources —
This new survey paper explores the Python machine learning landscape with a focus on recent trends and developments. This is a well-written long read, with lots of references along the way. By Sebastian Raschka, Joshua Patterson and Corey J Nolet.
All RStudio Conference 2020 videos are now available for streaming. There are over 100 talks here, covering a wide range of topics. Most of these talks are about 20 minutes and include links to related materials.
— Data Viz —
Even for people who work with maps a lot, it can be hard to grasp the size of things that are in the news. How big is that "2400 km² locus swarm that's devastating Kenya?" This tool by Hans Hack has the answer. It's simple and brilliant.
Great post by Adam Pearce that walks-through his process for designing an interface that shows ML model uncertainty. The vehicle is a model that's very good at detecting prostate cancer but it's not perfect. How do you show a pathologist where a model can be trusted? Adam shows the strengths and weaknesses of 6 different approaches.
— Conferences & Events —
- February 25 - Columbia Business School Executive Education Webinar: How Data Science and AI Are Shaping the Business Landscape - Assaf Zeevi will introduce some of the key innovations in this space in a manner that provides a base for understanding these technologies and the promise they hold. For info, see the event website >>
- March 2 - Data Elixir, a Global Women in Data Science (WiDS) Conference media collaborator, is pleased to present the WiDS Stanford livestream. The Global WiDS Conference aims to inspire and educate data scientists worldwide, regardless of gender, and support women in the field. This annual one-day technical conference features outstanding women doing outstanding work. For info, see the event website >>