RUG::B

Inspired to give this talk after Ellen's introduction to Machine learning. Info how gathering and processing data may be a key factor in systems with use of machine learning

While developing a people matching algorithm of MyCountryTalks from proof-of-concept to production-scale at bitcrowd we stumbled over some gotchas.

This talk is about how to improve naïve algorithms, taking our matching algorithm as an example. I hope you can take away a systematic approach on researching (performance) improvements and how to tackle them.

(talk will be given by Russ Olsen, not by me)

Have you ever thought about how much of software engineering involves explaining things? We stick comments in our program to explain why we added X to Y, we write README files to explain the program, and we spend the afternoon explaining the whole thing to the new person. A decent explanation can be the difference between success and obscurity. In this talk Russ Olsen will run through the things that you can do to craft explanations that are clear, engaging and perhaps even a bit funny. Russ will do his best to be clear, engaging and perhaps a bit funny.