— In the News —
The ability to number-crunch vast amounts of words is creating a new science of linguistics.
Not only does Facebook have lots of data to work with, as Yann LeCun says, "If we have an idea that actually works, within a month it can be in front of 1.5 billion people." That kind of power creates all manner of opportunities.
On the other end of the resources scale, there's Clara; a virtual AI assistant, started by two twenty-somethings with nowhere near the resources of a Facebook. Clara is already being called "Employee of the Month" by beta testers. Great story.
— Sponsored Link —
Dataiku, the advanced analytics software developer, does it again! Check out their new eBook, Building a Successful Data Lab. Free download.
— Tools and Techniques —
Cathy B, in the comments, put it best: "Wow. Just wow."
Nice beginning R tutorial. Along with baseball-specific packages, includes database access, data munging, web scraping, and visualization.
This is the third of a three part tutorial for building a web-based wine review and recommendation system. The first two parts show how to build the infrastructure. This part shows how to use machine learning to provide recommendations. It's not sophisticated from a machine learning perspective but it demonstrates how to build a complete application, is easy to follow, and has a GitHub repo to get you started.
— Byte Sized —
Google is sponsoring an MLconf award to a student whose machine learning research is helping to solve problems faced in industry. Here's what it's all about and how to nominate someone.
— Career —
Great article by Trey Causey about interviewing and finding your next job. Along with key insights, there are several worthwhile links here.
Awesome Reddit discussion starting with a hiring manager's perspective. Whether you're currently looking for opportunities or not, this is a Must Read.
Registration is required but it's free and this is a fantastic report that's based on a survey of over 600 respondents. Highly recommended.