Machine Learning in Elixir

This book offers a detailed exploration of integrating machine learning into applications using Elixir and the Nx ecosystem, making advanced concepts accessible.

In Machine Learning in Elixir, readers are introduced to the innovative Nx project, which empowers developers to harness machine learning capabilities using the Elixir programming language. This book provides a comprehensive guide to integrating machine learning into applications, utilizing the robust Erlang VM. It covers essential topics such as computer vision and natural language processing, enabling readers to tackle real-world challenges effectively.

The Elixir Nx project aims to simplify the machine learning landscape by allowing developers to work within the Elixir ecosystem rather than switching to other languages. The text is accessible to both newcomers and experienced programmers, guiding them through fundamental concepts like linear models and logistic regression. As readers progress, they will gain the confidence to implement machine learning algorithms and explore advanced topics like deep learning with Axon.

Throughout Machine Learning in Elixir, practical examples illustrate how to analyze, visualize, and explain data and models. The book emphasizes the versatility of machine learning applications, from image recognition to content recommendations. By the end, readers will be equipped to build and deploy machine learning models and pipelines, all while leveraging their knowledge of Elixir. This resource is ideal for anyone looking to expand their programming skills into the realm of machine learning and data science.