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
切換:
標籤
|
MARC模式
|
ISBD
Practical machine learning illustrat...
~
Geng, Yu.
FindBook
Google Book
Amazon
博客來
Practical machine learning illustrated with KNIME
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Practical machine learning illustrated with KNIME/ by Yu Geng ...[et al.].
其他作者:
Geng, Yu.
出版者:
Singapore :Springer Nature Singapore : : 2024.,
面頁冊數:
xiv, 304 p. :ill., digital ;24 cm.
Contained By:
Springer Nature eBook
標題:
Machine learning. -
電子資源:
https://doi.org/10.1007/978-981-97-3954-7
ISBN:
9789819739547
Practical machine learning illustrated with KNIME
Practical machine learning illustrated with KNIME
[electronic resource] /by Yu Geng ...[et al.]. - Singapore :Springer Nature Singapore :2024. - xiv, 304 p. :ill., digital ;24 cm.
This book guides professionals and students from various backgrounds to use machine learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use machine learning to solve problems in their own domains. However, machine learning is often viewed as the domain of programmers, especially for those who are familiar with Python. It is too hard for people from different backgrounds to learn Python to use machine learning. KNIME, the low-code platform, comes to help. KNIME helps people use machine learning in an intuitive environment, enabling everyone to focus on what to do instead of how to do. This book helps the readers gain an intuitive understanding of the basic concepts of machine learning through illustrations to practice machine learning in their respective fields. The author provides a practical guide on how to participate in Kaggle completions with KNIME to practice machine learning techniques.
ISBN: 9789819739547
Standard No.: 10.1007/978-981-97-3954-7doiSubjects--Topical Terms:
533906
Machine learning.
LC Class. No.: Q325.5
Dewey Class. No.: 006.31
Practical machine learning illustrated with KNIME
LDR
:01958nmm a22003255a 4500
001
2387955
003
DE-He213
005
20240830130232.0
006
m d
007
cr nn 008maaau
008
250916s2024 si s 0 eng d
020
$a
9789819739547
$q
(electronic bk.)
020
$a
9789819739530
$q
(paper)
024
7
$a
10.1007/978-981-97-3954-7
$2
doi
035
$a
978-981-97-3954-7
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
Q325.5
072
7
$a
UYQM
$2
bicssc
072
7
$a
MAT029000
$2
bisacsh
072
7
$a
UYQM
$2
thema
082
0 4
$a
006.31
$2
23
090
$a
Q325.5
$b
.P895 2024
245
0 0
$a
Practical machine learning illustrated with KNIME
$h
[electronic resource] /
$c
by Yu Geng ...[et al.].
260
$a
Singapore :
$b
Springer Nature Singapore :
$b
Imprint: Springer,
$c
2024.
300
$a
xiv, 304 p. :
$b
ill., digital ;
$c
24 cm.
347
$a
text file
$b
PDF
$2
rda
520
$a
This book guides professionals and students from various backgrounds to use machine learning in their own fields with low-code platform KNIME and without coding. Many people from various industries need use machine learning to solve problems in their own domains. However, machine learning is often viewed as the domain of programmers, especially for those who are familiar with Python. It is too hard for people from different backgrounds to learn Python to use machine learning. KNIME, the low-code platform, comes to help. KNIME helps people use machine learning in an intuitive environment, enabling everyone to focus on what to do instead of how to do. This book helps the readers gain an intuitive understanding of the basic concepts of machine learning through illustrations to practice machine learning in their respective fields. The author provides a practical guide on how to participate in Kaggle completions with KNIME to practice machine learning techniques.
650
0
$a
Machine learning.
$3
533906
650
1 4
$a
Machine Learning.
$3
3382522
650
2 4
$a
Data Science.
$3
3538937
700
1
$a
Geng, Yu.
$3
1912028
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer Nature eBook
856
4 0
$u
https://doi.org/10.1007/978-981-97-3954-7
950
$a
Computer Science (SpringerNature-11645)
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
W9498719
電子資源
11.線上閱覽_V
電子書
EB Q325.5
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