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How to use FreeMonad to build data pipelines for AI
I will present how to use FreeMonad to build data pipelines for AI. Will try to focus not on what FreeMonad is, but how we may take advantage of it and build readable, efficient and robust data pipelines.
The approach I present will focus on building pipelines that are build around business rules, not around Spark data frames.
Understanding the exact properties that disqualify a data type from being an instance of a given abstraction turns out to be surprisingly helpful
I'll share a handful of techniques that can help you avoid runtime errors and shift them to the realm of compile time
As WebAssembly matures and gets more and more traction from the community, you might wonder can Scala join that trend?
