The State of ML, Facebook's Algorithmic Editor, an Introduction to Ensembles, and more!

What data geeks got wrong, and right, in the 2016 US elections. A focus on ensemble learners: what th
The State of ML, Facebook's Algorithmic Editor, an Introduction to Ensembles, and more!
By Tristan Handy • Issue #60
What data geeks got wrong, and right, in the 2016 US elections. A focus on ensemble learners: what they are, how they work, and applied examples. The state of machine intelligence in a single infographic. And the definitive guide on how to p-hack (or how to detect it).
Share via Twitter | Share on Facebook | forward this email
Referred by a friend? Sign up.

Focus on: The 2016 Election
As one of the first elections where polling models, data journalism, and information bubbles were on such prominent display, the data of the 2016 US presidential election was fascinating, although its quality was disappointing. It’s clear that data scientists, journalists, and product managers need to do better.
Focus on: Ensembles
Top Data Science Articles
Data viz of the week
This one chart has more explanatory power than 24 hours of cable news.
This one chart has more explanatory power than 24 hours of cable news.
Made possible by our sponsors:
Did you enjoy this issue?
Tristan Handy
The internet's most useful data science articles. Curated with ❤️ by Tristan Handy.
Carefully curated by Tristan Handy with Revue. If you were forwarded this newsletter and you like it, you can subscribe here. If you don't want these updates anymore, please unsubscribe here.