Tag: machine learning

  • The science of moving dots: the O’Reilly Data Show Podcast

    Rajiv Maheswaran talks about the tools and techniques required to analyze new kinds of sports data [This post originally appeared on the O’Reilly Radar blog.] Editor’s note: you can subscribe to the O’Reilly Data Show Podcast…

  • Bits from the Data Store

    Semi-regular field notes from the world of data: Michael Jordan (“ask me anything”): The distinguished machine learning and Bayesian researcher from UC Berkeley’s AMPLab has an interesting perspective on machine learning and statistics. … while I…

  • Bits from the Data Store

    Semi-regular field notes from the world of data: Apache Spark development community: Josh Rosen of Databricks recently built a tool for browsing pull requests. I like that it lets you scan each of the major components…

  • Real-world Active Learning

    Beyond building training sets for machine-learning, crowdsourcing is being used to enhance the results of machine-learning models: in active learning, humans take care of uncertain cases, models handle the routine ones. Active Learning is one of…

  • What’s New in Scikit-learn 0.15

    Python has emerged as one of the more popular languages for doing data science. The primary reason is the impressive array of tools (the “Pydata” stack) available for addressing many stages of data science pipelines. One…

  • PredictionIO: an open source machine learning server

    PredictionIO a startup that produces an open source machine learning server, has raised a seed round of $2.5M. The company’s engine allows developers to quickly integrate machine learning into products and services. The company’s machine learning…

  • Welcome to Intelligence Matters

    Casting a critical eye on the exciting developments in the world of AI [A version of this post appears on the O’Reilly Radar blog and Forbes.] Editor’s note: this post was co-authored by Ben Lorica and…

  • 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…

  • 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…

  • Business analysts want access to advanced analytics

    [A version of this post appears on the O’Reilly Data blog and Forbes.] I talk with many new companies who build tools for business analysts and other non-technical users. These new tools streamline and simplify important…