The Hoff stopped by Fast Forward Labs!
More from the Blog
Dec 19 2014
We’re very pleased to announce our second research report topic will be realtime stream analysis, with a focus on probabilistic data structures. Using these techniques, we’re able to build systems that enable extremely fast and memory efficient computation over very large data sets. For example, imagine being able to do comparisons between two sets of billions of items in milliseco...
Apr 1 2015
Our second R&D Report, Probabilistic Methods for Realtime Streams, has gone out! In this report, we explored probabilistic algorithms for machine learning on potentially large realtime streams of data with efficient CPU and memory usage. Our prototype demonstrated these algorithms running on large amounts of social conversation data. More on that soon.
Oct 4 2017
by — We’ve started work on our next prototype. While the design is still evolving, we’re pretty sure one element of it will be a visualization of tens of thousands of data points, clustered through a dimensional reduction algorithm (most likely using T-SNE). For the past week I’ve been exploring how to render that many points in the browser and I wanted to document some early lessons in this post, s...