Machine learning in Rust using Linfa

Exploring the potential of using Rust for machine learning, this tutorial demonstrates how to build a basic machine learning application in Rust using the Linfa toolkit, focusing on logistic regression. The tutorial provides a step-by-step guide, starting from setting up a Rust project and loading a dataset to plotting data and training a logistic regression model. The Rust ecosystem for machine learning is still developing, with Linfa offering a higher-level meta-crate for data processing and algorithms. Although the current Rust ecosystem is not as mature as Python or R for machine learning, the community is actively progressing. The tutorial uses a small dataset of student exam scores to predict school acceptance, demonstrating that while Rust can perform machine learning tasks, the ecosystem still requires further development for more complex applications. Despite this, Rust's strengths as a fast, safe systems language could position it as a strong contender in building scalable machine learning applications in the future.