Machine Learning with Rust (This Book Only)
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Machine Learning with Rust

A practical attempt to explore Rust and its libraries across popular machine learning techniques

About the Book

In this stimulating journey of Rust, you'll learn how to use the Rust programming language in conjunction with machine learning. It's not a full guide to learning machine learning with Rust. Instead, it's more of a journey that shows you what's possible when you use Rust to solve machine learning problems. Some people like Rust because it is quick and safe. This book shows how those qualities can help machine learning a lot.

To begin, we will show you what Rust is and how it works. This is so that everyone, even those who are new to Rust, can follow along. Then, we look at some basic machine learning concepts, such as linear and logistic regression, and show how to use Rust's tools and libraries to make these ideas work.

You will learn more complex techniques like decision trees, support vector machines, and how to work with data as we go along. It goes all the way up to neural networks and image recognition, and we show you how to use Rust for these types of tasks step by step. We use real-world examples, such as COVID data and the CIFAR-10 image set, to show how Rust works with issues that come up in the real world.

This book is all about discovery and experimentation. To see what you can do with them, we use various Rust tools for machine learning. It's a fun way to see how Rust can be used in machine learning, and it will make you want to try new things and learn more on your own. This is only the beginning; there is so much more to uncover as you continue to explore machine learning with Rust.

Key Learnings

  • Exploit Rust's efficiency and safety to construct fast machine learning models.
  • Use Rust's ndarray crate for numerical computations to manipulate complex machine learning data.
  • Find out how Rust's extensible machine learning framework, linfa, works across algorithms.
  • Use Rust's precision and speed to construct linear and logistic regression.
  • See how Rust crates simplify decision trees and random forests for prediction and categorization.
  • Learn to implement and optimize probabilistic classifiers, SVMs and closest neighbor methods in Rust.
  • Use Rust's computing power to study neural networks and CNNs for picture recognition and processing.
  • Apply learnt strategies to COVID and CIFAR-10 datasets to address realistic problems and obtain insights.

 Table of Content

  1. Rust Basics for Machine Learning
  2. Data Wrangling with Rust
  3. Linear Regression by Example
  4. Logistic Regression for Classification
  5. Decision Trees in Action
  6. Mastering Random Forests
  7. Support Vector Machines in Action
  8. Simplifying Naive Bayes and k-NN
  9. Crafting Neural Networks with Rust
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  • Categories

    • Artificial Intelligence
    • Algorithm
    • Machine Learning
    • Rust
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About the Editor

GitforGits | Asian Publishing House
GitforGits | Asian Publishing House

GitforGits is an Asian publishing house where knowledgeable experts and open-source contributors collaborate to disseminate new ideas and innovations. We plan to provide niche, original, and useful content; we are a self-funded, independent publisher. We have books spanning the fields of computer science, cybersecurity, cloud computing, devops, deep learning, hardware programming, networking, the Internet of Things, and any other area of technology to which we can satisfactorily contribute.

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This Book Only
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$29.99
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$29.99
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This Book + Extras Downloadable (Statistics with Rust)

This package consists of 2 Books. The primary purchased book is available in your library and to download the extra ebooks, go to your Leanpub Library, select the book you purchased. Then, you will see a link (or links) to download the Extras included with the book.

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    Statistics with Rust

    50+ Statistical Techniques Put into Action

  • PDF

  • EPUB

  • English

$56.99
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This Book + Extras Downloadable (Rust In Practice, Second Edition)

This package consists of 2 Books. The primary purchased book is available in your library and to download the extra ebooks, go to your Leanpub Library, select the book you purchased. Then, you will see a link (or links) to download the Extras included with the book.

Includes:

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    Rust In Practice, Second Edition

    A Programmers Guide to Build Rust Programs, Test Applications and Create Cargo Packages

  • PDF

  • EPUB

  • English

$56.99
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$56.99
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This Book + Extras Downloadable (Rust In Practice, Second Edition + Statistics with Rust)

This package consists of 3 Books. The primary purchased book is available in your library and to download the extra ebooks, go to your Leanpub Library, select the book you purchased. Then, you will see a link (or links) to download the Extras included with the book.

Includes:

  • extras
    Statistics with Rust

    50+ Statistical Techniques Put into Action

  • extras
    Rust In Practice, Second Edition

    A Programmers Guide to Build Rust Programs, Test Applications and Create Cargo Packages

  • PDF

  • EPUB

  • English

$79.99
Minimum price
$79.99
Suggested price

Table of Contents

  1. Rust Basics for Machine Learning
  2. Data Wrangling with Rust
  3. Linear Regression by Example
  4. Logistic Regression for Classification
  5. Decision Trees in Action
  6. Mastering Random Forests
  7. Support Vector Machines in Action
  8. Simplifying Naive Bayes and k-NN
  9. Crafting Neural Networks with Rust

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