Guide to Data Visualization in Machine Learning with Elixir

In this article, the author discusses the importance of data visualization in the context of machine learning using Elixir. The article begins with an introduction to the rationale behind focusing on data visualization and then moves to practical examples using the Iris dataset. The author explains various techniques such as setting up dependencies, creating scatter plots, and facetted scatter plots. The article further explores how to visualize the loss and accuracy during the training of machine learning models using libraries like `:axon`, `:vega_lite`, and `:kino_vega_lite` in Livebook. The closing thoughts mention additional tools like `:tucan` and future directions for deeper model inspection.