— In the News —
Google's Cardboard project has enabled anyone with an Android or iPhone to have an inexpensive virtual reality viewer. Imagine pairing that with Google Earth and even better, add a neural net to discover interesting places. This is going to be awesome.
Great first-hand account of building a data science culture from scratch to help manage enormous growth. Whether you're part of a startup or an established organization, you'll find insights here for deciding which data is important, organizing a team, making decisions with data, and scaling data science to reach all areas of your organization. Highly recommended.
Fun, short read based on a recent Google paper. The Google paper is actually about modeling conversation but the media picked through it for examples of how the machines are getting exasperated with us! If you're an AI proponent, you may be dismayed to know that this article went viral on Facebook this week.
Interesting encryption scheme developed at MIT Media Lab that could be a game changer for facilitating online data transactions. This is a great description of how it works with links to details.
— Tools and Techniques —
This IPython notebook from Google Research demonstrates how to produce "dream" visuals like those that have been proliferating around the web this week. This provides an easy way to play with the ideas in their article from last month called "Inceptionism: Going Deeper into Neural Networks." That article was wildly popular and this notebook will likely fuel the enthusiasm.
CVPR is the premier Computer Vision conference, and it's fair to think of it as the Olympics of Computer Vision Research. This is a great rundown of what's happening in the field, including lots of linked references.
— Resources —
16 free data science books covering statistics, Python, machine learning, the data science process, and more.
— Data Viz —
Google makes it easy to collect information through simple web forms. But then what? This is the second of a two-part series that shows how to access the data in a Google Form, read it into a pandas dataframe, and analyze it. The examples are simplistic, which makes them easy to understand and apply to your own use-cases.
Nice overview of how to design for the human side of data interaction.
Big data and art are converging in electrifying ways. In this new video by the Creators Project, data artists show how their works are designed to explore and better understand the nuances of our everyday lives.