It’s been a busy week so my comments are abbreviated, but still some great articles published! Definitely check them out.
An interesting look at the classic test.
I’m an audio nerd at heart… I love these visualizations.
As soon as we were able to get ahold of more data in the 19th century, we’d turn it into pictures. A great look at the history of visualizing numbers.
Interesting take on the fact that traditional statistics is mostly used in the realm of data science.
Like the title says 😉
In order to try and get ahead in the artificial intelligence game, Google is now offering a “machine learning ninja training” program to its engineers.
A tough subject this week but an important set of data to look at, since data relies on trends, not the “one off” cases.
A good article that will but some minds at ease (man-killing robots likely to be much further off than one would think), while AI may be replacing some lower skill level occupations.
We are still only able to use a small fraction of the data that is generated every day… great read!
This is an incredible and somewhat hypnotizing data visualization that shows where people commute to work for any given country. Living in the Bay Area, one of the most stupidly expensive housing markets in the country, it was no surprise to see a wide range of dots all converge on San Jose.
Alternate titles to this post: ‘How to Do Things With Words. And Counters’ or ‘Everything I nEeded to Know About NLP I Learned from Sesame Street. Except Kneser-Ney Smoothing. The Count Didn’t Cover That’
These tips can be broken down for learning anything: Pick an environment you’re comfortable with, learn the basics, pick a project, RTFM (read the f***ing manual, as we say in the audio world), and go and do it!