Two weeks ago I mentioned that I was clearing my calendar until I finished writing A Guide to Working with Census Data in R. Today I’m happy to announce that the Guide is complete!
How a meme grew into a campaign slogan
A meme that cried “jobs not mobs” began modestly, but a couple of weeks later it found its way into a slogan used by the President of the United States. Keith Collins and Kevin Roose for The New York Times traced the spread of the meme through social media using a beeswarm chart. Blue represents activity on Twitter, yellow represents Facebook, and orange represents Reddit. Circles are sized by retweets, likes, and upvotes. The notes for key activities move the story forward.
Top Stories, Oct 29 – Nov 4: The Most in Demand Skills for Data Scientists; How Machines Understand Our Language
Creating GIFs with OpenCV
Vanderbilt University’s Peabody College: Lecturer in Data and Analytics [Online Teaching]
At: Vanderbilt University’s Peabody College
Location: remote; relocation to Nashville not requiredWeb: peabody.vanderbilt.edu/departments/lpo/Position: Lecturer in Data and Analytics
Machine Learning Classification: A Dataset-based Pictorial
R Packages worth a look
R2s for Regression Models (rr2)Three methods to calculate R2 for models with correlated errors, including Phylogenetic GLS, Phylogenetic Logistic Regression, Linear Mixed Models (LMM …
Import AI 119: How to benefit AI research in Africa; German politician calls for billions in spending to prevent country being left behind; and using deep learning to spot thefts
African AI researchers would like better code switching, maps, to accelerate research:…The research needs of people in Eastern Africa tells us about some of the ways in which AI development will differ in that part of the world…*Shopping lists contain a lot of information about a person, and I suspect the same might be true of *scientific shopping lists that come from a particular part of the world. For that reason a paper from Caltech which outlines requests for machine learning research from members of the East African Tech Scene gives us better context when thinking about the global impact of AI. Research needs: **Some of the requests include:
Maps, models, and analytic problem framing
What’s the most important component of analytic analysis? The data? The model? The deployment? Getting the business problem right? All the above? Or does it simply depend on who you ask?
Distilled News
Toward an AI Physicist for Unsupervised Learning