Gradient Flow

Tag: data science

  • A compelling family of DSLs for Data Science

    [A version of this post appears on the O’Reilly Data blog.] An important reason why pydata tools and Spark appeal to data scientists is that they both cover many data science tasks and workloads (Spark users…

  • Financial analytics as a service

    [A version of this post appears on the O’Reilly Strata blog.] In relatively short order Amazon’s internal computing services has become the world’s most successful cloud computing platform. Conceived in 2003 and launched in 2006, AWS…

  • Expanding options for mining streaming data

    [A version of this post appears on the O’Reilly Data blog.] Stream processing was in the minds of a few people that I ran into over the past week. A combination of new systems, deployment tools,…

  • Reproducing Data Projects

    [A version of this post appears on the O’Reilly Strata blog.] As I talk to people and companies building the next generation of tools for data scientists, collaboration and reproducibility keep popping up. Collaboration is baked…

  • Data Scientists and Data Engineers like Python and Scala

    [A version of this post appears on the O’Reilly Strata blog.] In exchange for getting personalized recommendations many Meetup members declare1 topics that they’re interested in. I recently looked at the topics listed by members of…

  • Data Wrangling gets a fresh look

    [A version of this post appears on the O’Reilly Strata blog.] Data analysts have long lamented the amount of time they spend on data wrangling. Rightfully so, as some estimates suggest they spend a majority of…

  • How companies are using Spark

    [A version of this post appears on the O’Reilly Strata blog.] When an interesting piece of big data technology gets introduced, early1 adopters tend to focus on technical features and capabilities. Applications get built as companies…

  • Simplifying interactive, realtime, and advanced analytics

    [A version of this post appears on the O’Reilly Strata blog and Forbes.] Here are a few observations based on conversations I had during the just concluded Strata NYC conference. Interactive query analysis on Hadoop remains…

  • Deep Learning oral traditions

    [A version of this post appears on the O’Reilly Strata blog.] This past week I had the good fortune of attending two great talks1 on Deep Learning, given by Googlers Ilya Sutskever and Jeff Dean. Much…

  • Stream Mining essentials

    [A version of this post appears on the O’Reilly Strata blog.] A series of open source, distributed stream processing frameworks have become essential components in many big data technology stacks. Apache Storm remains the most popular,…