At the beginning of April, I attended Big Data TechCon, a meeting aimed at teaching big data tools. I definitely learned a lot, in particular about the pitfalls in big data analytics. It was good to meet people from vastly different industries who were all united by the fact that they had some kind of ‘big data’ in their field. I attended the meeting with a free pass from KDnuggets, which I won by participating in a data science poll organized by Gregory Piatetsky-Shapiro – thanks a lot! Continue reading
On January 24, I attended a 1-day data science symposium at Harvard University with the fun title ‘Weathering the Data Storm‘. I imagine being in a tiny boat on the endless beautiful sea of data, and then a big data storm comes up! Numbers and pieces of text fly through the air… they hit me hard in the face like hail, pile up in my boat… and I’m in dire need of some clever algorithms to take care of all that data, so that I won’t get hurt, my boat won’t sink! Continue reading
Awesome scikit-learn machine learning algorithm cheat sheet, by Andreas Mueller.
On Jan 14, I attended a Big Data event for librarians, Big Data & You: Preparing Current and Future Information Specialists, organized by NEASIST (New England Chapter of the Association for Information Science & Technology). I hadn’t really thought about it before, but it’s obvious that ‘Big data’ is hitting the field of library science, too. Continue reading
Our paper got published in PNAS! Yay!
In this paper we investigate the effect of species interactions when two species have to expand into new territory. Such territorial expansions happen a lot currently, because many species are forced to shift their territories in response to climate change – for example, if it gets too hot for them in their current habitat, they move north. Continue reading