Press Release: October 8, 2019
O’Reilly Announces Speaker Lineup for Inaugural TensorFlow World
New event brings together the TensorFlow community to hear how companies like Amazon, Spotify, and Twitter are driving the machine learning revolution forward
BOSTON—O’Reilly, the premier source for insight-driven learning on technology and business, today announced the lineup of speakers for its first-ever TensorFlow World event, presented with TensorFlow. The event will take place at the Santa Clara Convention Center in Santa Clara, California, October 28–31
TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that enables researchers to push the boundaries of machine learning and developers to easily build and deploy machine learning-powered applications.
At TensorFlow World, attendees will see TensorFlow 2.0 in action, discover new ways to use it, and learn how to successfully implement it in their businesses. The event offers a great opportunity to explore the entire machine learning stack and learn about available tools, profitable use cases, and successful implementations from companies like Spotify, Twitter, Amazon, and more.
Keynotes and information-rich sessions and tracks that explore the latest advances, case studies, and best practices in TensorFlow have been assembled by conference cochairs Ben Lorica, chief data scientist, O’Reilly, and Edd Wilder-James, open source strategist, TensorFlow, Google. The full schedule for TensorFlow World is available here, and the full list of speakers is available here.
“We’re thrilled to bring together the growing TensorFlow community for the first time to provide an environment where users can learn from each other and openly explore new ideas, techniques, and approaches in machine learning,” said Lorica. “With the launch of TensorFlow 2.0, it’s an exciting time to be involved, regardless of whether you’re an expert, a contributor, or an enterprise user.”
Registration for TensorFlow World is now open, and a limited number of media passes are available for qualified journalists and analysts. For questions regarding media credentials, please contact email@example.com. For media queries or to schedule interviews, please contact OReilly@famapr.com.
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