Gradient Flow

Tag: machine learning

  • Creating large training data sets quickly

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Alex Ratner on why weak supervision is the key to unlocking dark data. Subscribe to the O’Reilly Data Show Podcast to…

  • Becoming a machine learning engineer

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Aurélien Géron on enabling companies to use machine learning in real-world products. Subscribe to the O’Reilly Data Show Podcast to explore…

  • Building a business that combines human experts and data science

    The O’Reilly Data Show podcast: Eric Colson on algorithms, human computation, and building data science teams. [A version of this post appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the…

  • Bridging the divide: Business users and machine learning experts

    [A version of this articles appears on the O’Reilly Radar.] Subscribe to the O’Reilly Data Show Podcast to explore the opportunities and techniques driving big data and data science. As tools for advanced analytics become more…

  • 6 reasons why I like KeystoneML

    [A version of this article appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Ben Recht on optimization, compressed sensing, and large-scale machine learning pipelines. As we put the finishing touches on what promises to…

  • The tensor renaissance in data science

    [A version of this post appears on the O’Reilly Radar.] The O’Reilly Data Show Podcast: Anima Anandkumar on tensor decomposition techniques for machine learning. After sitting in on UC Irvine Professor Anima Anandkumar’s Strata + Hadoop…

  • Let’s build open source tensor libraries for data science

    [A version of this post appears on the O’Reilly Radar blog.] Tensor methods for machine learning are fast, accurate, and scalable, but we’ll need well-developed libraries. Data scientists frequently find themselves dealing with high-dimensional feature spaces.…

  • 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…

  • Building and deploying large-scale machine learning pipelines

    [A version of this post appears on the O’Reilly Radar blog.] There are many algorithms with implementations that scale to large data sets (this list includes matrix factorization, SVM, logistic regression, LASSO, and many others). In…

  • Hardcore Data Science day: Strata+Hadoop World 2015

    My co-organizer Ben Recht and I are proud to announce the return of Hardcore Data Science day to Strata+Hadoop World in California. We have outstanding speakers – 11 talks in total – and I expect the…