ISSUE 291 ·   June 23, 2020        

Insight

Lessons-learned for the next wave of COVID

A lot of people seem to think that the worst of COVID-19 is behind us but that's probably far from true. After 100 days of working on the issues, DJ Patil offers insights for managing COVID-19 and ultimately, creating a data-driven public health system. Highly recommended.
dj patil

Decision-Making in a Time of Crisis

A bad outcome doesn't mean it was a bad decision. In this essay, Hugo Bowne-Anderson takes a look at uncertainty, probabilistic thinking, assessing risk, and how statistics is political.
O'Reilly Radar

Profile

Google Data Center Security: 6 Layers Deep

Physical security at cloud data centers is more fortified than you probably think. James Bond might have a chance at getting past the first couple of security layers but getting data out of Level 5 or 6? No way.
YouTube | Google Cloud Platform

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Tools and Techniques

What I learned from 200 machine learning tools

To better understand the landscape of available tools for ML production, Chip Huyen researched every AI/ML tool she could find. In this post, she explores the landscape and identifies under-served problems and opportunities. This is well-researched and insightful.
Chip Huyen

Using GitHub Actions for MLOps and Data Science

GitHub just released a collection of new tools to help with automation, collaboration and reproducibility in your data science and machine learning workflows. Here are the details.
GitHub Blog 

TensorFlow, Keras and deep learning, without a PhD

This classic tutorial from Google's Codelabs has recently been updated for Keras and Tensorflow 2.2. It's easy to follow and is a great starting point for learning about neural networks and things like softmax, cross-entropy, learning rates, dropout and batch normalization. 
Codelabs

Hacker Newsletter

Join 60k+ other subscribers to get the best of Hacker News without
actually having to visit Hacker News. Next issue goes out Friday.
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Career

Learn Data Science from Top Universities for Free

Here's where to find no-cost lectures, seminars and complete courses from universities like MIT, Stanford and Harvard.
TDS | Rebecca Vickery

Data Viz

Considerations for visualizing data for the color blind

In a new series of posts, Lisa Charlotte Rost explores color blindness and what it means for designing data visualizations. This is a great series with a lot of visuals that demonstrate common issues and ways to handle them.
Chartable

Data Elixir is curated and maintained by Lon Riesberg. If you need help on a data project or have a suggestion for the newsletter, reply back to this email or grab a spot on my calendar >>