東華大學圖書館 |

Language: English

Help

回圖書館首頁

手機版館藏查詢

Back

Switch To: Labeled | MARC Mode | ISBD

Practical machine learning with rust...

Bhattacharjee, Joydeep.

Linked to FindBook

Google Book

Amazon

博客來

Practical machine learning with rust = creating intelligent applications in rust /

Record Type:	Electronic resources : Monograph/item
Title/Author:	Practical machine learning with rust/ by Joydeep Bhattacharjee.
Reminder of title:	creating intelligent applications in rust /
Author:	Bhattacharjee, Joydeep.
Published:	Berkeley, CA :Apress : : 2020.,
Description:	xv, 354 p. :ill., digital ;24 cm.
[NT 15003449]:	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.
Contained By:	Springer eBooks
Subject:	Machine learning. -
Online resource:	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 rustcreating intelligent applications in rust /[electronic resource] :by Joydeep Bhattacharjee. - Berkeley, CA :Apress :2020. - xv, 354 p. :ill., digital ;24 cm.

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:

533906
Machine learning.

LC Class. No.: Q325.5 / .B438 2019

Dewey Class. No.: 006.31

Practical machine learning with rust = creating intelligent applications in rust /
LDR:02450nmm a2200325 a 4500 001 2215370
003 DE-He213
005 20200602090314.0
006 m d
007 cr nn 008maaau
008 201119s2020 cau s 0 eng d
020 $a 9781484251218 $q (electronic bk.)
020 $a 9781484251201 $q (paper)
024 7 $a 10.1007/978-1-4842-5121-8 $2 doi
035 $a 978-1-4842-5121-8
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .B438 2019
072 7 $a UYQM $2 bicssc
072 7 $a COM004000 $2 bisacsh
072 7 $a UYQM $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .B575 2019
100 1 $a Bhattacharjee, Joydeep. $3 3446677
245 1 0 $a Practical machine learning with rust $h [electronic resource] : $b creating intelligent applications in rust / $c by Joydeep Bhattacharjee.
260 $a Berkeley, CA : $b Apress : $b Imprint: Apress, $c 2020.
300 $a xv, 354 p. : $b ill., digital ; $c 24 cm.
505 0 $a 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.
520 $a 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.
650 0 $a Machine learning. $3 533906
650 1 4 $a Machine Learning. $3 3382522
650 2 4 $a Open Source. $3 2210577
650 2 4 $a Programming Languages, Compilers, Interpreters. $3 891123
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer eBooks
856 4 0 $u https://doi.org/10.1007/978-1-4842-5121-8
950 $a Professional and Applied Computing (Springer-12059)