Kotlin? For Machine Learning?

Python is *the* language of choice when it comes to Machine Learning. Easy to learn, very readable syntax, and a huge ecosystem. Why would I bother with any other language? And why Kotlin in particular?

In this talk, I’ll give you an overview of how to use Kotlin in every phase of your Machine Learning project. From data cleaning and feature extraction to deploying the model into production and model serving. 
I’ll also introduce you to a number of tools from the Kotlin ecosystem that you can use for your Data Science projects. We’ll talk about Kotlin in Jupyter notebooks, visualizations, and dataframes.

And about whether Kotlin can enable Data Scientists to build models for production, not just PoCs.