— In the News —
In 2018, every organization has a data strategy. But what's the difference between a mediocre data strategy and one that's great? In this post, Hilary Mason, GM for Machine Learning at Cloudera and Founder at Fast Forward Labs, shares some useful insights.
In a sign of the times, The Economist is now publishing a weekly section that showcases their data-driven, visual storytelling. The Economist has an awesome data journalism team and this new section will be worth paying attention to for getting new ideas and insights into ways to tell stories with data.
— Tools and Techniques —
This tutorial uses a LASSO regression to show how machine learning can predict your personality better than your family with only 125 Facebook Likes. If you don't have time for the tutorial, the article that goes along with it is a worthwhile read.
GPUs can dramatically increase the performance of your code but writing code that's able to use GPUs can be complicated. This article walks through the issues and shows how Julia greatly simplifies things for you.
Simple and ready-to-use tutorials for TensorFlow.
— Datasets —
Last week, Twitter released a substantial amount of new data that's associated with "information operations." It's being made available to support research and is intended to "enhance the health of public conversation on the Internet." Check out the post for details and if you're interested in exploring the data, it's available at Twitter's Elections Integrity Hub.
— Data Viz —
One dataset. And lots of ways to look at it. There are some great examples in Nathan Yau's recent post that shows how asking and answering questions can help guide you towards more focused visualizations.
— Career —
If you want above-average outcomes, you can’t do average things. This short post offers some specific ideas for breaking out of the herd.