Interesting talks from PyData London 2017 – Springboard

This year's PyData London conference was held in Bloomberg's offices on the 6th and 7th of May, with Tutorial Day on May 5th. As was the case with PyData Amsterdam 2017, I made the time to watch all of the talks from the conference, and write a blog post about the ones I found the most interesting. As I'm a huge fan of Random Forests, and consider them to pretty much be Data Science 101, I thoroughly enjoyed the talk given by Nathan Epstein from conference host Bloomberg. He gave a very good intuitive introduction to how the algorithm works, and also spoke about its advantages over Neural Networks - something very useful in a time when everyone is really gung-ho over Deep Learning and "AI". Ian Ozsvald, author of the great "High-Performance Python", together with Guzstav Belteki and Giles Weaver, presented a piece of research they did for the NHS, using data collected from ventilators used in neonatal wards.