Issue 84
— In the News —
AI, Deep Learning, and Machine Learning: A Primer
After multiple AI Winters, why is Silicon Valley buzzing about artificial intelligence again? What’s the breakthrough? In this presentation, Frank Chen from a16z explains why we're finally in an AI Spring.
Movie written by algorithm turns out to be hilarious and intense
This 9 minute video took the Internet by storm this week. You might not get it but it's especially interesting through the lens of the accompanying article. To make this film, the filmmakers didn't just take direction from an AI, they collaborated with it.
Mathematical Models Suggest New Ways of Targeting Pro-ISIS Groups Online
Beyond using stats to target these groups, researchers believe their models could be used to predict the onset of major violent events.
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— Tools and Techniques —
Ten Simple Rules for Effective Statistical Practice
Essential set of guidelines for working with statistics.
Machine Listening: Interview with Juan Pablo Bello
Fascinating interview about machine listening. From a machine's perspective, what differentiates music from noise?
Machine Learning is Fun! Part 3: Deep Learning and Convolutional Neural Networks
Nice tutorial for getting started with deep learning.
ParaText: CSV parsing at 2.5 GB per second
Impressive. ParaText is fast and can easily handle multi-terabyte data sets. This alpha release includes a CSV reader and Python bindings.
Creating Videos of NBA Action With Sportsvu Data
Step by step tutorial for using the SportVU data to recreate basketball plays. Includes code and links to data.
— Resources —
Requests for Research
There are lots of resources to help people get started with deep learning but then what?! This collection of problems by OpenAI is intended to help new people enter the field and for enthusiastic practitioners to hone their skills.
— Data Viz —
Improving R animated GIFs with tweenr
Short tutorial for using the tweenr package to create smooth animations between data transitions.
— About —
Data Elixir is curated and maintained by @lonriesberg. If you find this newsletter worthwhile, please help spread the word. Forward to your colleagues or share on your favorite network: Thanks.
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