Please log in to watch this conference skillscast.
Building from that you will delve into related problems of sampling in a stream setting, and updating in a batch setting, and highlight some cool tricks such as capturing time-dynamics via data snapshotting. To finish off we will touch upon algorithms to summarize categorical data, most notably count-min sketch. The talk is motivated by my work at Metabase -- an opensoucre analytics tool -- where you heavily utilize histograms in building our "data scientist in a box".
YOU MAY ALSO LIKE:
Simon built his first computer out of Lego bricks and learned to program soon after. Emergence, networks, modes of thought, limits of language and expression are what makes him smile (and stay up at night). The combination of lisp and machine learning put him on the path of always striving to make himself redundant if not outright obsolete.