— In the News —
This is a deep and thought-provoking essay about the real-world implications of big data and machine learning. It was presented by Hanna Wallach at the recent FATML / NIPS 2014 workshop. Hanna is a machine learning expert at Microsoft and her informed insights may surprise you. Highly recommended.
— Tools and Techniques —
Python is a great language for working with data but there are a lot of ways to get tripped up. This article explores some of Python's most common pitfalls and offers suggestions for getting the most out of your data while minimizing development time.
— Resources —
There are lots of resources to help stay on top of developments in data science but where do you start? Here's a collection of some of the best websites, books, communities, and other resources that are worth paying attention to.
— Data Viz —
This is an interactive tool from Harvard and MIT that enables users to visualize a country's total trade, track how it changes over time and explore growth opportunities for more than a hundred countries worldwide. Apparently, this has been around for a few years and it's quite impressive. There's an enormous amount of data here that's very well organized and is easy to navigate. Highly recommended.
With multiple APIs and a web app that makes it easy to upload data, Plot.ly has become one of the most interesting data viz platforms on the web. Here are some of the best Plot.ly graphs of the year as curated by Plot.ly. These are all interactives and it's definitely worth clicking around to explore.
Nice collection of Data Viz tools and resources that came out of 2014. This is a MUST READ article for anyone interested in data visualization.