Statistics with Rust, Second Edition by Keiko Nakamura (.ePUB)+

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File Size: 10 MB

Statistics with Rust, Second Edition: Explore rust programming and its powerful crates across data science, machine learning and NLP projects by Keiko Nakamura
Requirements: .ePUB, .PDF, .MOBI/.AZW reader, 10 MB
Overview: “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 newest version of Rust, 1.72.0, to help users build and secure statistical and machine learning algorithms. Each chapter is full of useful programs and code examples that will walk you through tasks like data manipulation, statistical tests, regression analysis, building machine learning models, and natural language processing. This 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 detailed look at advanced algorithms like PCA, SVM, neural networks, and ensemble methods. We’ve also included some natural language processing topics, such as text preprocessing, tokenization, and word embeddings. This book is perfect for every data user, including data scientist, NLP engineers, rust programmers, data engineers, data analysts and all those who are knowning simple basics of statistics and eager to use Rust programming for Data Science and Machine Learning projects.
Genre: Non-Fiction > Tech & Devices

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