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Information Visualization for Large-Scale Data Workflows

The ability to instrument and interrogate data as it moves through a processing pipeline is fundamental to effective machine learning at scale. Applied in this capacity, information visualization technologies drive product innovation, shorten iteration cycles, reduce uncertainty, and ultimately improve the performance of predictive models. It can be challenging, however, to understand where in a workflow to employ data visualization, and, once committed to doing so, developing revealing visualizations that suggest clear next steps can be similarly daunting.

In this talk we’ll describe the role that information visualization technologies play in the LinkedIn data science ecosystem, and explore best practices for understanding the structure of large-scale data in a production environment. From hypothesis generation and feature development to model evaluation and tooling, visualization is at the heart of LinkedIn’s machine learning workflows, enabling our data scientists to reason and communicate more effectively. Broken down into clear, structured insights based on proven technology and workflow patterns, this talk will help you understand how to apply information visualization to the analytical challenges you encounter every day.

Meet Michael Conover 

Mike Conover builds machine learning technologies that leverage the behavior and relationships of hundreds of millions of people. A senior data scientist at LinkedIn, Mike has a Ph.D. in complex systems analysis with a focus on information propagation in large-scale social networks. His work has appeared in the New York Times, the Wall Street Journal, Science, MIT Technology Review and on National Public Radio.


[masked]pm: Registration, Networking & book signage 

6:[masked]pm: Introduction 

7:00-7:45pm: Talk by Michael Conover

7:[masked]pm: Q&A session

Join or login to comment.

  • Steven B.

    Excellent talk.

    1 · April 23, 2014

  • Pashu P.

    Hi everyone! Michael's slides are now available online, check them out!

    2 · April 17, 2014

    • D_Sharma

      Thank you for sharing the slides.

      April 17, 2014

  • D_Sharma

    Michael is very passionate about Data Science. Excellent presentation on visualizing information for large scale data. However, I think that there was some problem with the mike so sound quality was not the best. I think a better mike can be used for future presentations

    April 17, 2014

  • Tam N.

    Great information, however, the speaker needed to project himself louder in order to engage the audience.

    April 17, 2014

  • dirk h.

    Brilliant talk. Will the slides be made available?

    April 16, 2014

  • Vas B.

    Great talk! Thanks to TheHive (™ Ravi, and Pashu Pathina) for organizing this series, and to Michael Conover for the insights on the use of Visualization...

    1 · April 16, 2014

  • dirk h.

    Very interesting presentation with intriguing concepts.

    2 · April 16, 2014

  • Steven B.

    Great talk!

    1 · April 16, 2014

  • T. M. R.

    Excited to have Mike Conover at The Hive today!

    1 · April 16, 2014

  • A former member
    A former member


    April 15, 2014

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