category

Computer Science

  1. #46 1 min

    Probabilistic algorithms for fun and pseudorandom profit

    Probabilistic algorithms for fun and pseudorandom profit from Tyler Treat

  2. #34 19 min

    Stream Processing and Probabilistic Methods: Data at Scale

    Stream processing and related abstractions have become all the rage following the rise of systems like Apache Kafka, Samza, and the Lambda architecture. Applying the idea of immutable, append-only event sourcing means we’re storing more data than ever before. However, as the cost of storage continues to decline, it’s becoming more feasible to store more data for longer periods of time. With immutability, how the data lives isn’t interesting anymore. It’s all about how it moves.

  3. #32 2 min

    CS Literature of the Day

    I read a lot of research papers and other nerdy computer science things in my spare time. I’m also a huge fan of Paper We Love, which is an awesome repository of academic CS papers and a community of people who read, share, and present them. For the purposes of posterity and information-sharing, I thought it would be a good idea to share some of the nerdy things I read or watch like various papers, blog posts, and talks—all related to computer science. That’s why I’m tweeting a new piece of CS literature every day with the hashtag #CSLOTD and maintaining a GitHub repo containing that content called CS Literature of the Day.