— In the News —
That was a rough election for data people. Nearly every major forecast seemed to be wrong. This article by Steve Lohr and Natasha Singer explores what it means for the data community.
How can managers, from the front lines to the C-suite, thrive in the age of AI? To find out, the Harvard Business Review surveyed 1,770 managers from 14 countries and interviewed 37 executives that are responsible for digital transformation at their organizations. Here's what they discovered.
There's a lot more to this article than how Julia is being used in finance communities. This is a nice exploration of what it's like to work with the latest iteration of Julia, including what it's great for, what it lacks, and things to look forward to.
— Sponsored Link —
Become a Python master with DataCamp. In our newest online tutorial you'll learn how to write your own functions to solve problems that are dictated by your data. The course has over 40 in-browser coding challenges with 10 videos. Complete the first chapter for free.
— Tools and Techniques —
Generally, when people talk about "Big Data," they're referring to data and an ecosystem of tools that's used in industry. Science communities produce large-scale datasets too but the science data ecosystem has evolved independently and is different than industry's. This report explores this parallel Big Data ecosystem.
Random forest is a highly versatile machine learning method with numerous applications ranging from marketing to healthcare and insurance. This tutorial is a good overview of what it is, when to use it and how to get started. Includes sample code and linked references.
Nice approach for deep learning with text. This is easy to follow, with examples.
— Startups —
Working on a data startup? Send a link and a short description of what you're doing to [email protected]. I'll feature the most interesting ones here.
— Resources —
This collection of "weird and wonderful" datasets includes things like football strategies, heart sounds, horse races, wine quality indicators, rated Flickr images, UFO reports, etc.
— Data Viz —
This year's U.S. election inspired a plethora of outstanding data visualizations. This one from the Washington Post turns the U.S. on its side to show how the vote played out.
Uber Engineering just open-sourced their Web-GL framework for visualizing data sets at scale and it's beautiful. Uber uses it for mapping but the architecture supports abstract and scientific visualization too. deck.gl offers high-performance rendering of large data sets, high-precision numerical computations, and extensibility.