Intro to Neural Nets in TensorFlow

In this webinar, The Data Incubator's Data Scientist in Residence Robert Schroll will be demonstrating the analytical capabilities of neural nets in TensorFlow.

August 8, 2017 | 10:30 a.m. - 11:30 a.m. PT

About the webinar has partnered with The Data Incubator, a data science training organization, to bring comprehensive data science education to its platform customers. To kick off the partnership, we’re offering a free training webinar focused on deep learning. This training will also leverage open transportation data from the US DOT as part of the sponsorship of the NSF Big Data Innovation Hubs National Transportation Challenge

In this live webinar, Robert Schroll, data scientist in residence at The Data Incubator, and Kevin Fisher, a customer success manager at, will provide an introduction to neural nets in TensorFlow.  The webinar will leverage publicly available national transportation data hosted on Google BigQuery and apply TensorFlow to identify high risk factors for DUI-influenced collisions. 

Robert Schroll
Data Scientist in Residence, The Data Incubator
Robert Schroll is the data scientist in residence at The Data Incubator. Previously, he held postdocs in Amherst, Massachusetts, and Santiago, Chile, where he realized that his favorite parts of his job were teaching and analyzing data. He made the switch to data science and has been at The Data Incubator since. Robert holds a PhD in physics from the University of Chicago.
Kevin Fisher
Director of Customer Success,
Kevin Fisher leads the customer success organization at He and his team are primarily responsible for the customer experience and ensuring that customers are wildly successful with their data science efforts. Prior to joining, Kevin, a graduate of UC Berkeley, gained extensive enterprise and data-driven experience as a leader at LinkedIn.
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