Target New ArrivalsGift Ideas for MomClothing, Shoes & AccessoriesHome & DecorKitchen & DiningOutdoor Living & GardenGroceryHousehold EssentialsBabyBeautyPersonal CareHealthWellnessLuggageSports & OutdoorsToysElectronicsVideo GamesMovies, Music & BooksSchool & Office SuppliesParty SuppliesGift IdeasGift CardsPetsUlta Beauty at TargetShop by CommunityTarget OpticalDealsClearanceNew ArrivalsSpring OutfitsGift Ideas for MomWomen’s Festival OutfitsTop DealsTarget Circle DealsWeekly AdShop Order PickupShop Same Day DeliveryRegistryRedCardTarget CircleFind Stores
Practical Machine Learning with Rust - by  Joydeep Bhattacharjee (Paperback) - 1 of 1

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

$35.49Save $19.50 (35% off)

In Stock

Free & easy returns

Free & easy returns

Return this item by mail or in store within 90 days for a full refund.
Eligible for registries and wish lists

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, Artificial Intelligence

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: Artificial Intelligence
Publisher: Apress
Theme: General
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
We regret that this item cannot be shipped to PO Boxes.
This item cannot be shipped to the following locations: American Samoa (see also separate entry under AS), Guam (see also separate entry under GU), Northern Mariana Islands, Puerto Rico (see also separate entry under PR), United States Minor Outlying Islands, Virgin Islands, U.S., APO/FPO, Alaska, Hawaii

Return details

This item can be returned to any Target store or Target.com.
This item must be returned within 90 days of the date it was purchased in store, delivered to the guest, delivered by a Shipt shopper, or picked up by the guest.
See the return policy for complete information.

Q: What programming language is primarily used in this book?

submitted by AI Shopping Assistant - today
  • A: The primary programming language used in the book is Rust, focusing on its application in machine learning.

    submitted byAI Shopping Assistant - today
    Ai generated

Q: Who is the target audience for this book?

submitted by AI Shopping Assistant - today
  • A: The book is aimed at machine learning engineers and software engineers interested in Rust.

    submitted byAI Shopping Assistant - today
    Ai generated

Q: What topics are covered in this machine learning book?

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

    submitted byAI Shopping Assistant - today
    Ai generated

Q: Who is the author of this book?

submitted by AI Shopping Assistant - today
  • A: The author is Joydeep Bhattacharjee, a machine learning engineer with expertise in software tools and clean code.

    submitted byAI Shopping Assistant - today
    Ai generated

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

submitted by AI Shopping Assistant - today
  • A: Readers will learn to write machine learning algorithms, use Rust libraries, and deploy applications effectively.

    submitted byAI Shopping Assistant - today
    Ai generated

Additional product information and recommendations

Discover more options

Trending Computers & Technology Books

Get top deals, latest trends, and more.

Privacy policy