{"product_id":"statistics-with-rust-second-edition-explore-rust-programming-and-its-powerful-crates-across-data-science-machine-learning-and-nlp-projects-paperback","title":"Statistics with Rust, Second Edition: Explore rust programming and its powerful crates across data science, machine learning and NLP projects - Paperback","description":"\u003cdiv\u003e\u003cp style=\"text-align: right;\"\u003e\u003ca href=\"https:\/\/reportcopyrightinfringement.com\/\" target=\"_blank\" rel=\"nofollow\"\u003e\u003cb\u003eReport copyright infringement\u003c\/b\u003e\u003c\/a\u003e\u003c\/p\u003e\u003c\/div\u003e\u003cp\u003eby \u003cb\u003eKeiko Nakamura\u003c\/b\u003e (Author)\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\"Statistics with Rust, Second Edition\" is designed to help you learn quickly, focusing on practical statistics using Rust scripts. The book is for readers who know the basics of statistics and machine learning. It gives quick explanations so you can try out concepts with hands-on coding. The book uses the \u003cstrong\u003enewest version of Rust, 1.72.0\u003c\/strong\u003e, to help users \u003cstrong\u003ebuild and secure statistical and machine learning algorithms\u003c\/strong\u003e. Each chapter is full of useful programs and code examples that will walk you through \u003cstrong\u003etasks like data manipulation, statistical tests, regression analysis, building machine learning models, and natural language processing.\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eWe've covered great Rust crates featured throughout, including: \u003c\/p\u003e\u003cul\u003e\n\u003cli\u003e\n\u003cstrong\u003endarray and ndarray-linalg\u003c\/strong\u003e: For efficient handling of multi-dimensional arrays and linear algebra operations.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003endarray-stats\u003c\/strong\u003e: To perform statistical computations on arrays.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003erand and rand_distr\u003c\/strong\u003e: For generating random numbers and working with probability distributions.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003esmartcore\u003c\/strong\u003e: A machine learning library used for implementing algorithms like decision trees and random forests.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003elinfa\u003c\/strong\u003e: A toolkit providing implementations of Support Vector Machines and other algorithms.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003etch\u003c\/strong\u003e: Rust bindings for PyTorch, enabling the creation and training of neural networks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003efinalfusion\u003c\/strong\u003e: For working with word embeddings in natural language processing tasks.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003erust-stemmers\u003c\/strong\u003e: To perform stemming in text preprocessing.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eregex\u003c\/strong\u003e: For pattern matching and text manipulation.\u003c\/li\u003e\n\u003cli\u003e\n\u003cstrong\u003eunicode-segmentation\u003c\/strong\u003e: To accurately tokenize Unicode strings.\u003c\/li\u003e\n\u003c\/ul\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eThis second edition brings all chapters up to date with the latest in stats and Rust programming. It focuses on how you can put these things to practical use, with a \u003cstrong\u003edetailed look at advanced algorithms like PCA, SVM, neural networks, and ensemble methods\u003c\/strong\u003e. We've also included some natural language processing topics, such as \u003cstrong\u003etext preprocessing, tokenization, and word embeddings. \u003c\/strong\u003eThe book also shows you how to combine Rust's performance and safety with statistical analysis, giving you the tools you need to do data analysis efficiently and reliably. The book's got lots of practical code and explanations that are easy to understand, which helps you learn the skills you need to get to grips with data using Rust.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cstrong\u003eTable of Content\u003c\/strong\u003e\u003cp\u003eIntroduction to Rust for Statisticians\u003c\/p\u003e\u003cp\u003eData Handling and Preprocessing\u003c\/p\u003e\u003cp\u003eDescriptive Statistics\u003c\/p\u003e\u003cp\u003eProbability Distributions and Random Variables\u003c\/p\u003e\u003cp\u003eInferential Statistics\u003c\/p\u003e\u003cp\u003eRegression Analysis\u003c\/p\u003e\u003cp\u003eBayesian Statistics\u003c\/p\u003e\u003cp\u003eMultivariate Statistical Methods\u003c\/p\u003e\u003cp\u003eNonlinear Models and Machine Learning\u003c\/p\u003e\u003cp\u003eModel Evaluation and Validation\u003c\/p\u003e\u003cp\u003eText and Natural Language Processing\u003c\/p\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eNumber of Pages:\u003c\/strong\u003e 214\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003eDimensions:\u003c\/strong\u003e 0.45 x 9.25 x 7.5 IN\u003c\/div\u003e\n            \u003cdiv\u003e\n\u003cstrong\u003ePublication Date:\u003c\/strong\u003e October 10, 2024\u003c\/div\u003e\n            ","brand":"BooksCloud","offers":[{"title":"Default Title","offer_id":47213593166073,"sku":"9788119177974","price":75.58,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0789\/2782\/3097\/files\/4u6hUOaGF9788119177974.webp?v=1768108792","url":"https:\/\/bookscloud.io\/products\/statistics-with-rust-second-edition-explore-rust-programming-and-its-powerful-crates-across-data-science-machine-learning-and-nlp-projects-paperback","provider":"BooksCloud Book Dropshipping","version":"1.0","type":"link"}