The Leanpub 60 Day 100% Happiness Guarantee
Within 60 days of purchase you can get a 100% refund on any Leanpub purchase, in two clicks.
See full terms...
Machine Learning with Rust, Second Edition
Implement data pipelines, classical models, deep learning and NLP using burn, candle, linfa and smartcore
This book is 100% completeLast updated on 2026-06-22
The latest version of Rust (1.85) has some great new features, like async closures, more stable associated function return types, and const generics that are now mature enough to underpin serious numerical libraries. The linfa and smartcore ecosystems have developed into decent classical machine learning stacks. The Burn training framework feels native to Rust, not like it's been ported from it. The Candle makes it so that loading pre-trained transformer models is more of an engineering task than a research exercise. The crates that used to need all sorts of workarounds now just work.
Minimum price
$29.99
$29.99
You pay
Author earns
About
About the Book
This machine learning book is a new edition out now for Rust developers to build practical machine learning systems without getting bogged down in the complexities of Rust 1.85. We put together a single workspace over eleven chapters, building it from a Polars-based data pipeline through classical models, deep neural networks, and natural language processing, right up to a deployed REST API.
We teach you to make use of linfa and smartcore crates for regression, classification, ensemble methods, and support vector machines. We build and train neural networks using the Burn framework, work with convolutional architectures on image data, and load pre-trained transformer models through Candle. We also use a lightweight NLP pipeline with TF-IDF and Gaussian Naive Bayes from first principles. At all times, Rust's ownership model and type system work together to make sure things are correct, rather than getting in the way.
This particular book is a perfect knowledge source for developers who already know Rust at a beginner’s level and want to use that knowledge for machine learning tasks. You don't need to have worked with any ML frameworks before.
Key Learnings
- Structure a multi-crate Rust workspace for end-to-end machine learning.
- Build type-safe data pipelines using Polars and Apache Arrow.
- Train, evaluate, and improve classical models with linfa and smartcore.
- Implement backpropagation and mini-batch gradient descent.
- Train multilayer perceptrons and convolutional networks using Burn.
- Load and fine-tune pre-trained BERT models using Candle.
- Apply LoRA weight adaptation to transformer layers.
- Construct production TF-IDF and Naive Bayes NLP pipeline.
- Serve trained models using axum and tokio.
- Implement live model hot-reloading and request batching without server downtime.
Table of Content
- Why Rust for Machine Learning?
- Data Engineering with Polars and Arrow
- Regression and Classification
- Decision Trees, Random Forests, and Gradient Boosting
- SVMs, Naive Bayes, and k-NN
- Neural Networks from First Principles
- Deep Learning with Burn
- Computer Vision Pipelines with Burn
- Transformer Inference and Fine-Tuning with Candle
- Natural Language Processing in Rust
- Model Serving and REST APIs
Categories
Feedback
Previous Editions
Author
About the Author
GitforGits | Asian Publishing House
We are the engineer’s publisher, the coder’s mentor, and the content alchemist—meticulously turning dense tech into practical gold. With a growing library of 100+ titles, we don’t just develop technical books, rather we build roadmaps for professionals across Python, MySQL, DevOps, Rust, AI, Kotlin, Arduino, Golang and everything around the massive IT ecosystem. Every chapter, every script, every project is a tool in the hands of developers who want to get things done.
Where others summarize, we construct step-by-step learning blueprints, cutting through clutter, banning the fluff, and ensuring every paragraph delivers hands-on value. Our audience isn’t learning from scratch—they’re leveling up with purpose, and we stand by them with code-first content, consistent project workflows, and a zero-redundancy approach.
Earn $8 on a $10 Purchase, and $16 on a $20 Purchase
We pay 80% royalties on purchases of $7.99 or more, and 80% royalties minus a 50 cent flat fee on purchases between $0.99 and $7.98. You earn $8 on a $10 sale, and $16 on a $20 sale. So, if we sell 5000 non-refunded copies of your book for $20, you'll earn $80,000.
(Yes, some authors have already earned much more than that on Leanpub.)
In fact, authors have earned over $15 million writing, publishing and selling on Leanpub.
Learn more about writing on Leanpub
Free Updates. DRM Free.
If you buy a Leanpub book, you get free updates for as long as the author updates the book! Many authors use Leanpub to publish their books in-progress, while they are writing them. All readers get free updates, regardless of when they bought the book or how much they paid (including free).
Most Leanpub books are available in PDF (for computers) and EPUB (for phones, tablets and Kindle). The formats that a book includes are shown at the top right corner of this page.
Finally, Leanpub books don't have any DRM copy-protection nonsense, so you can easily read them on any supported device.
Learn more about Leanpub's ebook formats and where to read them
Write and Publish on Leanpub
You can use Leanpub to easily write, publish and sell in-progress and completed ebooks and online courses!
Leanpub is a powerful platform for serious authors, combining a simple, elegant writing and publishing workflow with a store focused on selling in-progress ebooks.
Leanpub is a magical typewriter for authors: just write in plain text, and to publish your ebook, just click a button. (Or, if you are producing your ebook your own way, you can even upload your own PDF and/or EPUB files and then publish with one click!) It really is that easy.