Lets say I have experience creating ML models in Python, and have decided on training my models on Spark using Pyspark. This will form part of an ML infrastructure for a website with a Java or C# backend. How can I make this work? I am a beginner when it comes to Spark.

I am looking for any tutorial(s) that show me how to create a complete ML cloud infrastructure which can be trained with Python but accessed through Java or C#.

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    $\begingroup$ I recommend checking out this article The section "Building a Prediction Service Without Running Spark" sounds like what you want $\endgroup$ – zachdj Nov 14 '19 at 18:44

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