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Practical Machine Learning with Rust

Creating Intelligent Applications in Rust

  • Book
  • © 2020

Overview

Authors:
  1. Joydeep Bhattacharjee

    1. Bangalore, India

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  • The first book on Rust for machine learning
  • Covers the basics to full-blown applications
  • Provides insights into challenges when working with the existing ecosystem

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Table of contents (8 chapters)

  1. Front Matter

    Pages i-xv
    Download chapter PDF

  2. Basics of Rust

    • Joydeep Bhattacharjee
    Pages 1-30

  3. Supervised Learning

    • Joydeep Bhattacharjee
    Pages 31-105

  4. Unsupervised and Reinforcement Learning

    • Joydeep Bhattacharjee
    Pages 107-139

  5. Working with Data

    • Joydeep Bhattacharjee
    Pages 141-186

  6. Natural Language Processing

    • Joydeep Bhattacharjee
    Pages 187-227

  7. Computer Vision

    • Joydeep Bhattacharjee
    Pages 229-276

  8. Machine Learning Domains

    • Joydeep Bhattacharjee
    Pages 277-313

  9. Using Rust Applications

    • Joydeep Bhattacharjee
    Pages 315-346

  10. Back Matter

    Pages 347-354
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Keywords

About this book

Explore machine learning in Rust and learn about the intricacies of creating machine learning applications. This book begins by covering the important concepts of machine learning such as supervised, unsupervised, and reinforcement learning, and the basics of Rust. Further, you’ll dive into the more specific fields of machine learning, such as computer vision and natural language processing, and look at the Rust libraries that help create applications for those domains. We will also look at how to deploy these applications either on site or over the cloud.

After reading Practical Machine Learning with Rust, you will have a solid understanding of creating high computation libraries using Rust. Armed with the knowledge of this amazing language, you will be able to create applications that are more performant, memory safe, and less resource heavy.

 

What You Will Learn

  • Write machine learning algorithms in Rust
  • Use Rust libraries for different tasks in machine learning
  • Create concise Rust packages for your machine learning applications
  • Implement NLP and computer vision in Rust
  • Deploy your code in the cloud and on bare metal servers

 

Who This Book Is For 

Machine learning engineers and software engineers interested in building machine learning applications in Rust.



Authors and Affiliations

  • Bangalore, India

    Joydeep Bhattacharjee

About the author

Joydeep Bhattacharjee is a machine learning engineer. He likes creating software tools and processes with a focus on clean code. He is a huge believer in tech and the ability of tech to move the world forward. His expertise includes data exploration, statistical modeling, machine learning algorithms, and data visualization. His is currently working at Nineleaps as a principal engineer.

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