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SkillsCast

Deep Learning data pipeline with TensorFlow, Apache Beam and Scio

14th December 2017 in London at Business Design Centre

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In this talk, you will discover how to leverage Scio, the Scala API for Apache Beam and it’s module scio-tensorflow to integrate Deep Learning into your batch or streaming data pipeline. You will explore the core concepts of Apache Beam, a quick tour around Scio Scala API and then illustrate TensorFlow integration with a practical use case of natural language processing for automated phone support.

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Deep Learning data pipeline with TensorFlow, Apache Beam and Scio

Vincent Van Steenbergen

Vincent Van Steenbergen is a Senior Data Engineer who’s been working on Big Data projects using Machine Learning (recommender system, fraud detection) and more recently Deep Learning (voice analysis, natural language processing). He regularly speaks at international conferences and meetups about Big Data tech stacks such as Scala, Akka, Spark as well as Machine Learning and Deep Learning.

SkillsCast

Please log in to watch this conference skillscast.

Https s3.amazonaws.com prod.tracker2 resource 41088130 skillsmatter conference skillscast o9nohu

In this talk, you will discover how to leverage Scio, the Scala API for Apache Beam and it’s module scio-tensorflow to integrate Deep Learning into your batch or streaming data pipeline. You will explore the core concepts of Apache Beam, a quick tour around Scio Scala API and then illustrate TensorFlow integration with a practical use case of natural language processing for automated phone support.

YOU MAY ALSO LIKE:

Thanks to our sponsors

About the Speaker

Deep Learning data pipeline with TensorFlow, Apache Beam and Scio

Vincent Van Steenbergen

Vincent Van Steenbergen is a Senior Data Engineer who’s been working on Big Data projects using Machine Learning (recommender system, fraud detection) and more recently Deep Learning (voice analysis, natural language processing). He regularly speaks at international conferences and meetups about Big Data tech stacks such as Scala, Akka, Spark as well as Machine Learning and Deep Learning.

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