Gradient Flow

Tag: strata

  • How signals, geometry, and topology are influencing data science

    [A version of this post appears on the O’Reilly Strata blog.] I’ve been noticing unlikely areas of mathematics pop-up in data analysis. While signal processing is a natural fit, topology, differential and algebraic geometry aren’t exactly…

  • Improving options for unlocking your graph data

    [A version of this post appears on the O’Reilly Strata blog.] The popular open source project GraphLab received a major boost early this week when a new company comprised of its founding developers, raised funding to…

  • 11 Essential Features that Visual Analysis Tools Should Have

    [A version of this post appears on the O’Reilly Strata blog.] After recently playing with SAS Visual Analytics, I’ve been thinking about tools for visual analysis. By visual analysis I mean the type of analysis most…

  • Scalable streaming analytics using a single-server

    [A version of this post appears on the O’Reilly Strata blog.] For many organizations real-time1 analytics entails complex event processing systems (CEP) or newer distributed stream processing frameworks like Storm, S4, or Spark Streaming. The latter…

  • Tachyon: An open source, distributed, fault-tolerant, in-memory file system

    [A version of this post appears on the O’Reilly Strata blog.] In earlier posts I’ve written about how Spark and Shark run much faster than Hadoop and Hive by1 caching data sets in-memory. But suppose one…

  • Simpler workflow tools enable the rapid deployment of models

    [A version os this post appears on the O’Reilly Strata blog.] Data science often depends on data pipelines, that involve acquiring, transforming, and loading data. (If you’re fortunate most of the data you need is already…

  • Single server systems can tackle Big Data

    [A version of this post appears on the O’Reilly Strata blog.] About a year ago a blog post from SAP posited1 that when it comes to analytics, most companies are in the multi-terabyte range: data sizes…

  • The re-emergence of Time-series

    [A version of this post appeared on the O’Reilly Strata and Radar blogs.] My first job after leaving academia was as a quant1 for a hedge fund, where I performed (what are now referred to as)…

  • Data Science tools: Are you “all in” or do you “mix and match”?

    [A version of this post appears on the O’Reilly Strata blog.] An integrated data stack boosts productivity As I noted in my previous post, Python programmers willing to go “all in”, have Python tools to cover…

  • Python data tools just keep getting better

    [A version of this post appeared on the O’Reilly Strata blog.] Here are a few observations inspired by conversations I had during the just concluded PyData conference1. The Python data community is well-organized: Besides conferences (PyData,…