Simplified Machine Learning Workflows Overview

Anton Antonov

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.