ISSUE 312 ·   November 17, 2020        

Insight

Interview with Ashley Kramer, CPO/CMO, Sisense

Not long ago, Business Intelligence and Data Science were very different worlds but that's changing fast. In this interview, Ashley Kramer explores the Sisense platform and how the world of BI is increasingly colliding with data science.
Matt Turck's Blog

Sponsored Link

A Look At Next Generation Video Annotation

Video annotation is becoming the new frontier of data labeling. Video annotation is complex - big video, rich video, deep video all come with numerous entities, relationships, ontologies and more. This white paper identifies key next generation solutions for big video giving data science the functionality, tooling and quality control to annotate their video ML projects.

Tutorials, Projects & Opinions

Turning Metadata Into Insights with Databook

This post from Uber Engineering is the latest in a string of deep dives that explore in-house data discovery solutions. Uber's platform is called "Databook" and this is a comprehensive post that covers a variety of topics including motivations for the platform, how it's evolved, architecture, the data model, how discovery works and lots more.
Uber Engineering

How Prediction Markets Beat Polls

Prediction markets did pretty well in the 2020 election but they're far from perfect. In this post, Arpit Gupta takes a look at the successes and failings of the prediction markets versus the polls in this election cycle.
Arpit Gupta

130 Machine Learning Projects Solved and Explained

This collection of hands-on tutorials walks through a wide variety of machine learning projects using Python.
Aman Kharwal

Data/Applied/Research Scientist, ML Engineer - What’s the Difference?

Great post that explores the various goals, skills, and deliverables of common "data science" job roles and what these evolving titles mean for the industry and your team.
Eugene Yan

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.
// sponsored

Code & Tools

Pluto.jl

Pluto.jl was built from the ground up to be a fresh new notebook system, written in Julia. Pluto notebooks are stored as executable .jl files and they're reactive, which means that affected cells automatically update when functions or variables are changed.
GitHub | fonsp

Dagli: Faster and easier machine learning on the JVM

Dagli is a new open source ML library for JVM languages, like Java. It contains a comprehensive collection of statistical models and feature transformers that are ready to use out of the box. Dagli is intended to make it easy to write, revise and deploy production-ready models.
LinkedIn Engineering

Project Pick

COVID-19 Mobility Network Modeling

How effective are stay-at-home orders on slowing the spread of COVID-19? This new project uses smartphone data to model the mobility of 98 million people to track the spread of COVID-19, detect hotspots, and guide reopening strategies. Includes an interactive simulation, links to anonymized data and a paper preview.
Stanford

Data Elixir is curated and maintained by Lon Riesberg. For full-text search of prior issues, visit Data Elixir's Search Page. If you have questions or suggestions for the newsletter, reply back to this email or connect with me online.

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