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  • © 2020

Practical Machine Learning with Rust

Creating Intelligent Applications in Rust

Apress

Authors:

(view affiliations)
  • 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

Buying options

eBook
USD 34.99
Price excludes VAT (USA)
  • ISBN: 978-1-4842-5121-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 44.99
Price excludes VAT (USA)

This is a preview of subscription content, access via your institution.

Table of contents (8 chapters)

  1. Front Matter

    Pages i-xv
  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

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.

 

You will:

  • 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

Keywords

  • Machine Learning
  • Rust
  • Algorithms
  • Artificial Intelligence
  • Native Code
  • Natural Language Processing
  • Computer Vision
  • Audio Processing
  • GPU Programming

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.

Bibliographic Information

Buying options

eBook
USD 34.99
Price excludes VAT (USA)
  • ISBN: 978-1-4842-5121-8
  • Instant PDF download
  • Readable on all devices
  • Own it forever
  • Exclusive offer for individuals only
  • Tax calculation will be finalised during checkout
Softcover Book
USD 44.99
Price excludes VAT (USA)