Apache Spark sets out to standardize distributed machine learning training, execution, and deployment

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We called it Machine Learning October Fest. Last week saw the nearly synchronized breakout of a number of news centered around machine learning (ML): The release of PyTorch 1.0 beta from Facebook, fast.ai, Neuton, Infer.NET, and MLFlow.

Not accidentally, last week was also the time when Spark and AI Summit Europe took place. The European incarnation of Apache Spark’s summit. Its title this year has been expanded to include AI, attracting a lot of attention in the ML community. Apparently, it also works as a date around which ML announcements are scheduled.

Also: The past, present, and future of streaming: Flink, Spark, and the gang

MLFlow is Databricks‘ own creation. Databricks is the commercial entity behind


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