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Practical Machine Learning with Rust...
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SpringerLink (Online service)
Practical Machine Learning with Rust = Creating Intelligent Applications in Rust /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Practical Machine Learning with Rust/ by Joydeep Bhattacharjee.
其他題名:
Creating Intelligent Applications in Rust /
作者:
Bhattacharjee, Joydeep.
面頁冊數:
XV, 354 p. 28 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Programming Languages, Compilers, Interpreters. -
電子資源:
https://doi.org/10.1007/978-1-4842-5121-8
ISBN:
9781484251218
Practical Machine Learning with Rust = Creating Intelligent Applications in Rust /
Bhattacharjee, Joydeep.
Practical Machine Learning with Rust
Creating Intelligent Applications in Rust /[electronic resource] :by Joydeep Bhattacharjee. - 1st ed. 2020. - XV, 354 p. 28 illus.online resource.
Chapter 1: Basics of Rust -- Chapter 2: Supervised learning -- Chapter 3: Unsupervised learning and Reinforcement learning -- Chapter 4: Data Processing -- Chapter 5: Natural Language Processing in Rust -- Chapter 6: Computer Vision in Rust -- Chapter 7: Deploying Machine Learning Applications.
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.
ISBN: 9781484251218
Standard No.: 10.1007/978-1-4842-5121-8doiSubjects--Topical Terms:
669782
Programming Languages, Compilers, Interpreters.
LC Class. No.: Q325.5-.7
Dewey Class. No.: 006.31
Practical Machine Learning with Rust = Creating Intelligent Applications in Rust /
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Chapter 1: Basics of Rust -- Chapter 2: Supervised learning -- Chapter 3: Unsupervised learning and Reinforcement learning -- Chapter 4: Data Processing -- Chapter 5: Natural Language Processing in Rust -- Chapter 6: Computer Vision in Rust -- Chapter 7: Deploying Machine Learning Applications.
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