Tag: machine learning products
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A framework for building and evaluating data products
[A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Pinterest data scientist Grace Huang on lessons learned in the course of machine learning product launches. Subscribe to the O’Reilly Data…
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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…
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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…
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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…
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Instrumenting collaboration tools used in data projects
Built-in audit trails can be useful for reproducing and debugging complex data analysis projects [A version of this post appears on the O’Reilly Data blog.] As I noted in a previous post, model building is just…
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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…
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Six reasons why I recommend scikit-learn
[A version of this post appears on the O’Reilly Data blog.] I use a variety of tools for advanced analytics, most recently I’ve been using Spark (and MLlib), R, scikit-learn, and GraphLab. When I need to…
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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…
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Gaining access to the best machine-learning methods
[A version of this post appears on the O’Reilly Strata blog and Forbes.] For companies in the early stages of grappling with big data, the analytic lifecycle (model building, deployment, maintenance) can be daunting. In earlier…