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Practical Machine Learning with Rust - by  Joydeep Bhattacharjee (Paperback) - 1 of 1

Practical Machine Learning with Rust - by Joydeep Bhattacharjee (Paperback)

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About this item

Highlights

  • Explore machine learning in Rust and learn about the intricacies of creating machine learning applications.
  • About the Author: Joydeep Bhattacharjee is a machine learning engineer.
  • 354 Pages
  • Computers + Internet, Intelligence (AI) & Semantics

Description



About the Book



"User level: intermediate-advanced"--Back cover.



Book Synopsis



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.



From the Back Cover



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
  • UseRust 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



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.
Dimensions (Overall): 9.21 Inches (H) x 6.14 Inches (W) x .77 Inches (D)
Weight: 1.15 Pounds
Suggested Age: 22 Years and Up
Number of Pages: 354
Genre: Computers + Internet
Sub-Genre: Intelligence (AI) & Semantics
Publisher: Apress
Format: Paperback
Author: Joydeep Bhattacharjee
Language: English
Street Date: December 11, 2019
TCIN: 1004660565
UPC: 9781484251201
Item Number (DPCI): 247-45-1132
Origin: Made in the USA or Imported
If the item details aren’t accurate or complete, we want to know about it.

Shipping details

Estimated ship dimensions: 0.77 inches length x 6.14 inches width x 9.21 inches height
Estimated ship weight: 1.15 pounds
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Q: What concepts of machine learning are covered in the book?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book covers supervised, unsupervised, reinforcement learning, computer vision, and natural language processing.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: Who is the intended audience for this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: It is aimed at machine learning engineers and software engineers interested in Rust-based applications.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What can readers expect to learn from this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: Readers will learn to write machine learning algorithms and deploy applications using Rust.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What libraries does the book explore for machine learning in Rust?

submitted by AI Shopping Assistant - 1 month ago
  • A: The book examines various Rust libraries that assist in creating applications for machine learning tasks.

    submitted byAI Shopping Assistant - 1 month ago
    Ai generated

Q: What language skills are assumed for readers of this book?

submitted by AI Shopping Assistant - 1 month ago
  • A: An intermediate to advanced understanding of programming concepts is recommended for readers.

    submitted byAI Shopping Assistant - 1 month ago
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