Data Science Central offers up this list of 15 books every data scientist should read.
Flowing Data brings us a story about how to build your own information display out of a two way mirror. Now you can get your important info presented on your bathroom mirror in the morning.
Check out this data science workflow from the Binary Edge Blog.
Check out this great post from Medium about doing data science at Twitter.
Here’s a post from the Smart Data Collective that frames up the main components of a big data analytics stack:
- data layer
- data preparation layer
- analysis layer
- presentation layer
- use case layer
Airbnb has developed a machine learning algorithm to help its hosts improve pricing. Check out the article.
This example shows how to take a set of e-commerce product photos and break them down with principal components analysis. A handful of components can then be used to represent the image instead of thousands of pixels.
Check out this Forbes article and the list of the top 100 analytics startups of 2015