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Apache Beam for Production Machine Learning: TensorFlow Extended (TFX)
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Developing ML and deep learning applications to be deployed in production is much more than just training a model. Google has taken years of experience in developing production ML pipelines and offered the open source community TensorFlow Extended (TFX), an open source version of the ML platform that Google uses internally. Pipeline processing is a core requirement of any production ML platform, and the TFX has chosen Apache Beam to implement their pipeline.
Learn from Google’s experience in applying Beam for ML pipelines, including how TFX uses Beam and why Beam was chosen.
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The Beam Summit North America 2019 was a 2-day event held in Las Vegas, all focused around Apache Beam.
Learn from Google’s experience in applying Beam for ML pipelines, including how TFX uses Beam and why Beam was chosen.
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The Beam Summit North America 2019 was a 2-day event held in Las Vegas, all focused around Apache Beam.