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Simplified Machine Learning Workflows Overview

We discuss the main Machine Learning (ML) workflows and their rapid specification through monadic packages and a Natural Language Processing (NLP) template engine. We demonstrate that the ML workflows we consider are universal–they have multi-language implementations in Python, R, the Wolfram Language, and others. The overview covers Data Wrangling, Classification, Regression, Latent Semantic Analysis, and Recommendations.

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