語系:
繁體中文
English
說明(常見問題)
回圖書館首頁
手機版館藏查詢
登入
回首頁
到查詢結果
[ subject:"Machine Learning." ]
切換:
標籤
|
MARC模式
|
ISBD
Practical machine learning with rust...
~
Bhattacharjee, Joydeep.
FindBook
Google Book
Amazon
博客來
Practical machine learning with rust = creating intelligent applications in rust /
紀錄類型:
書目-電子資源 : 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.
出版者:
Berkeley, CA :Apress : : 2020.,
面頁冊數:
xv, 354 p. :ill., digital ;24 cm.
內容註:
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
標題:
Machine learning. -
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. - 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)
筆 0 讀者評論
館藏地:
全部
電子資源
出版年:
卷號:
館藏
1 筆 • 頁數 1 •
1
條碼號
典藏地名稱
館藏流通類別
資料類型
索書號
使用類型
借閱狀態
預約狀態
備註欄
附件
W9390278
電子資源
11.線上閱覽_V
電子書
EB Q325.5 .B438 2019
一般使用(Normal)
在架
0
1 筆 • 頁數 1 •
1
多媒體
評論
新增評論
分享你的心得
Export
取書館
處理中
...
變更密碼
登入