ISSUE 296 ·   July 28, 2020        

In the News

How to Understand COVID-19 Numbers

Between case counts, deaths, hospitalizations, positivity rates, rolling averages, etc, it's hard to gauge how the pandemic is progressing. Here's a detailed guide to the numbers and, ultimately, insights into what's worth paying attention to.
ProPublica

Tackling the Misinformation Epidemic

Fake news? We haven't seen anything yet. This new project from the MIT Center for Advanced Virtuality shows how deepfakes are evolving and how they're being used. The 6 minute film on the project site is worthwhile and definitely don't miss the Resources section >>
MIT News

Insight

Bringing an AI Product to Market

This series of articles about AI product management explores how developing AI-driven products is different than developing typical software products. Previous articles have gone through the basics. This part gets to the meat: how do you bring an AI product to market?
 O'Reilly Radar

U.S. & China: Assessing Data Advantage in Military AI

With extensive surveillance, robust data collection capabilities, and access to private sector data, China has a LOT of data to work with but is that enough to overtake the U.S. in AI?
Center for Security and Emerging Technology

Sponsored Link

Future-Proof Your Career, While You Work

The Global Master of Management Analytics from Smith School of Business at Queen’s University is a 12-month program that can be taken from anywhere in the world.  Master the essential strategies for applying analytics to business needs in this ground-breaking program.

Tools & Techniques

Monitoring Machine Learning

In this interview, Oren Razon, Co-Founder and CTO of SuperwiseAI, discusses the challenges of operationalizing machine learning, the different types of model drift that can occur, and who owns ML monitoring in organizations.
 ML in Production | Luigi Patruno 

Resources

Applied ML

Great curation of papers, articles, and blogs that will help you figure out how to implement your next machine learning project for production. 
GitHub | Eugene Yan

Supervised Machine Learning for Text Analysis in R

This new online book will serve as a thorough introduction to prediction and modeling with text, along with detailed practical examples.
Emil Hvitfeldt and Julia Silge 

Azure Architectures

Architecture diagrams, reference architectures, example scenarios, and solutions for common workloads on Azure.
Microsoft

Upcoming Events

DSS Virtual Salon: Media, Advertising & Entertainment  
September 22-25. One of a kind conference that brings together the brightest leaders in Data Science, Machine Learning and AI across media and entertainment. Online only. Register now with the promo code "DataElixir" to get 20% off your ticket!

Job Board

New on the Job Board:

• Senior Data Scientist at komoot (remote)
• Senior Backend Developer / Data Scientist at komoot (remote)
• Database Analyst at Transformation Church (border of NC/SC, US)
• Senior Data Scientist, Enterprise at Slack (remote)

Check these out and more >>

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 >>