— In the News —
John Horton Conway, the widely praised British mathematician, died this week, apparently from COVID-19. In this adaptation from the biography Genius at Play, Siobhan Roberts explores his life and shows how serious advances can spring out of fun and games.
Machine learning applications are proving to be especially useful to the scientific community studying the planet's largest bodies of water. Here's a sampling of the opportunities and challenges.
— Tools and Techniques —
gt is short for "grammar of tables" and it aims to do for tables what ggplot2 did for graphics. In this introduction to the first release, Richard Iannone walks-through what it can already do and how to get started.
Should universities resume face-to-face instruction in the Fall? In this thread, Kim Weeden walks through a working paper that explores the structure of networks between students and classes. It's still a working paper but the network analysis is fairly straight-forward.
Once you deploy your model to production, the work isn't over. This guide shows how to monitor your models, why that matters, and how to go about implementing your own ML monitoring solutions. There's a lot here but it's well organized and easy to follow.
People don't always like doing them but when done well, peer reviews reduce the risk of errors and help teams grow. In this post, Shay Palachy walks through a well-reasoned framework for preparing and running data science peer reviews. Includes lots of questions to help make sure your reviews are well covered.
Here's a concise introduction to machine learning in R using the tidymodels pipeline. Tidymodels forms the basis of tidy machine learning, and this post provides a whirlwind tour to get you started.
Keep track of your hyperparameters, metrics, data versions, Jupyter notebooks and more. Group, organize and compare results in a powerful UI that scales to millions of runs. Run experiments on any infrastructure, language or framework and share them with your team.
— Resources —
Every product in the Google Cloud family organized and described in <=4 words (with liberal use of hyphens and slashes 😏) by the Google Developer Relations Team. Recently updated.
— Data Viz —
"This is the biggest story as a data journalist that I’ve ever encountered." In this interview, John Burn-Murdoch from the Financial Times describes the creation of his popular COVID-19 charts, how they've evolved and what it's been like to cover the epidemic for a rapidly growing audience.
Awesome write-up by Nadieh Bremer of a recent data visualization she created for Physics Today. It's part art, part science, and a lot of how-to.
— Conferences & Events —
Free Metis Corporate Training Series: Intro to Python
This is your chance to give your team a strong foundation in Python by learning with Metis, a leader in data science and analytics training. Join us throughout April for a free, live online training series created especially for business professionals. Absolute beginners welcome! No prerequisites required! Every Tuesday in April at 12pm ET.