Gradient Flow

Tag: data science

  • Using Agile development techniques for data science projects

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: John Akred on building data platforms and enterprise data strategies. Subscribe to the O’Reilly Data Show Podcast to explore the opportunities…

  • Topic Models: Past, Present, Future

    [A version of this post appears on the O’Reilly Radar blog.] The O’Reilly Data Show Podcast: David Blei, co-creator of one of the most popular tools in text mining and machine learning. I don’t remember when…

  • The evolution of GraphLab

    [A version of this post appears on the O’Reilly Radar blog.] Editor’s note: Carlos Guestrin will be part of the team teaching Large-scale Machine Learning Day at Strata + Hadoop World in San Jose. Visit the…

  • Lessons from next-generation data wrangling tools

    [A version of this post appears on the O’Reilly Radar blog.] One of the trends we’re following is the rise of applications that combine big data, algorithms, and efficient user interfaces. As I noted in an…

  • Streamlining Feature Engineering

    Researchers and startups are building tools that enable feature discovery [A version of this post appears on the O’Reilly Data blog.] Why do data scientists spend so much time on data wrangling and data preparation? In…

  • Crowdsourcing Feature discovery

    More than algorithms, companies gain access to models that incorporate ideas generated by teams of data scientists [A version of this post appears on the O’Reilly Data blog and Forbes.] Data scientists were among the earliest…

  • Interface Languages and Feature Discovery

    It’s easier to “discover” features with tools that have broad coverage of the data science workflow [A version of this post appears on the O’Reilly Data blog and Forbes.] Here are a few more observations based…

  • Bridging the gap between research and implementation

    [A version of this post appears on the O’Reilly Data blog.] One of the most popular offerings at Strata Santa Clara was Hardcore Data Science day. Over the next few weeks we hope to profile some…

  • IPython: A unified environment for interactive data analysis

    [A version of this post appears on the O’Reilly data blog and Forbes.] As I noted in a recent post on reproducing data projects, notebooks have become popular tools for maintaining, sharing, and replicating long data…

  • Big Data systems are making a difference in the fight against cancer

    [A version of this post appears on the O’Reilly Data blog and Forbes.] As open source, big data tools enter the early stages of maturation, data engineers and data scientists will have many opportunities to use…