Introduction to Machine Learning with Elixir, Nx, and Axon

This article provides a comprehensive guide to using Elixir for machine learning, specifically focusing on predicting fuel efficiency (MPG) using the Nx and Axon libraries. The author starts with an accessible explanation of machine learning concepts tailored for developers without a strong background in mathematics or statistics. The article walks through setting up a machine learning model, performing data normalization, and building a neural network to predict fuel efficiency from car data. It covers essential tasks including parsing data, training the model, and improving model accuracy by adding hidden layers. The content includes both a hand-rolled implementation and a refined approach using Axon for easier handling of machine learning processes. The article includes code snippets and concept explanations making it a practical guide for developers wanting to dive into machine learning with Elixir.