{"product_id":"machine-learning-with-rust-second-edition-implement-data-pipelines-classical-models-deep-learning-and-nlp-using-burn-candle-linfa-and-smartcore-paperback","title":"Machine Learning with Rust, Second Edition: Implement data pipelines, classical models, deep learning and NLP using burn, candle, linfa and smartcore - Paperback","description":"\u003cp\u003eby \u003cb\u003eKeiko Nakamura\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis machine learning book is a new edition out now \u003cstrong\u003efor Rust developers to build practical machine learning systems without getting bogged down in the complexities of Rust 1.85\u003c\/strong\u003e. We put together \u003cstrong\u003ea single workspace\u003c\/strong\u003e over eleven chapters, \u003cstrong\u003ebuilding it from a Polars-based data pipeline through classical models, deep neural networks, and natural language processing, right up to a deployed REST API\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWe teach you to \u003cstrong\u003emake use of linfa and smartcore crates for regression, classification, ensemble methods, and support vector machines\u003c\/strong\u003e. We \u003cstrong\u003ebuild and train neural networks using the Burn framework, work with convolutional architectures on image data, and load pre-trained transformer models through Candle\u003c\/strong\u003e. We also \u003cstrong\u003euse a lightweight NLP pipeline with TF-IDF and Gaussian Naive Bayes\u003c\/strong\u003e 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.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis 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. \u003cstrong\u003eYou don't need to have worked with any ML frameworks before\u003c\/strong\u003e.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eKey Learnings\u003c\/strong\u003e\u003cp\u003eStructure a multi-crate Rust workspace for end-to-end machine learning.\u003c\/p\u003e\u003cp\u003eBuild type-safe data pipelines using Polars and Apache Arrow.\u003c\/p\u003e\u003cp\u003eTrain, evaluate, and improve classical models with linfa and smartcore.\u003c\/p\u003e\u003cp\u003eImplement backpropagation and mini-batch gradient descent.\u003c\/p\u003e\u003cp\u003eTrain multilayer perceptrons and convolutional networks using Burn.\u003c\/p\u003e\u003cp\u003eLoad and fine-tune pre-trained BERT models using Candle.\u003c\/p\u003e\u003cp\u003eApply LoRA weight adaptation to transformer layers.\u003c\/p\u003e\u003cp\u003eConstruct production TF-IDF and Naive Bayes NLP pipeline.\u003c\/p\u003e\u003cp\u003eServe trained models using axum and tokio.\u003c\/p\u003e\u003cp\u003eImplement live model hot-reloading and request batching without server downtime.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eTable of Content\u003c\/strong\u003e\u003cp\u003eWhy Rust for Machine Learning?\u003c\/p\u003e\u003cp\u003eData Engineering with Polars and Arrow\u003c\/p\u003e\u003cp\u003eRegression and Classification\u003c\/p\u003e\u003cp\u003eDecision Trees, Random Forests, and Gradient Boosting\u003c\/p\u003e\u003cp\u003eSVMs, Naive Bayes, and k-NN\u003c\/p\u003e\u003cp\u003eNeural Networks from First Principles\u003c\/p\u003e\u003cp\u003eDeep Learning with Burn\u003c\/p\u003e\u003cp\u003eComputer Vision Pipelines with Burn\u003c\/p\u003e\u003cp\u003eTransformer Inference and Fine-Tuning with Candle\u003c\/p\u003e\u003cp\u003eNatural Language Processing in Rust\u003c\/p\u003e\u003cp\u003eModel Serving and REST APIs\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 296\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.62 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e May 20, 2026\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":71808536477949,"sku":"9789349174214","price":91.22,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0817\/3414\/0157\/files\/iNj-8xa4Jv9789349174214.webp?v=1793814650","url":"https:\/\/booktolia.com\/products\/machine-learning-with-rust-second-edition-implement-data-pipelines-classical-models-deep-learning-and-nlp-using-burn-candle-linfa-and-smartcore-paperback","provider":"booktolia","version":"1.0","type":"link"}