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Data Science Versus Engineering. Does It Really Have To Be This Way?

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Domino Data Lab HQ

548 4th Street

San Francisco, California 94107

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Are you a data scientist that has created a model in R or Python and wonder "why does it take such a long time to deploy the model into production?" Are you a data engineer that has ever thought "data scientists have no idea what they want"? Are you a machine learning engineer that feels like you are stuck in the middle of a cold war between data science and engineering or, perhaps, IT?

Join us at Domino HQ for a lively discussion panel, with industry veterans, to chat about best practices and insights regarding how to increase collaboration when developing and deploying models.

Panelists

  • Paco Nathan, is known as a "player/coach", with core expertise in data science, natural language processing, machine learning, and cloud computing. He is the Evil Mad Scientist at Derwen, Co-chair of JupyterCon, host of Executive Briefings at The AI Conf and Strata Data. Advisor for Amplify Partners, Deep Learning Analytics, Recognai. Recent roles: Director, Learning Group @ O'Reilly Media; Director, Community Evangelism @ Databricks and Apache Spark.
  • Amy Heineike is the VP of Product Engineering at Primer AI, where she leads teams to build machines that read and write text leveraging NLP, NLG and a host of other algorithms to augment human analysts. Previously she built out technology for visualizing large document sets as network maps at Quid. A Cambridge Mathematician who previously worked in London modeling cities, Amy is fascinated by complex human systems and the algorithms and data that help us understand them.
  • Pete Warden is the Technical Lead on the TensorFlow Mobile Embedded Team at Google doing Deep Learning. He is formerly the CTO of Jetpac, which was acquired by Google. He is also an Apple alumnus and blogs at petewarden.com.


Donation Recipient

General admission is free and donations are optional. $10 or higher donations will automatically enter you into the raffle for a chance to win a free bronze level pass to the Strata Data Conference. The proceeds from the donations will go to La Cocina.

Domino will be paying for all of the Eventbrite processing fees associated with the donation tickets. Domino would like to extend special thanks to O’Reilly Media for donating the bronze level Strata pass and helping us raise money for La Cocina.

A few words from La Cocina about their mission

  • "The mission of La Cocina is to cultivate food entrepreneurs as they formalize and grow their businesses by providing affordable commercial kitchen space, industry-specific technical assistance and access to market opportunities. We focus primarily on women from communities of color and immigrant communities. Our vision is that entrepreneurs will become economically self-sufficient and contribute to a vibrant economy doing what they love to do."




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Date and Time

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Domino Data Lab HQ

548 4th Street

San Francisco, California 94107

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