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
Python machine learning case studies...
~
Haroon, Danish.
FindBook
Google Book
Amazon
博客來
Python machine learning case studies = five case studies for the data scientist /
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Python machine learning case studies/ by Danish Haroon.
其他題名:
five case studies for the data scientist /
作者:
Haroon, Danish.
出版者:
Berkeley, CA :Apress : : 2017.,
面頁冊數:
xvii, 204 p. :ill., digital ;24 cm.
內容註:
Chapter 1: Statistics and Probability -- Chapter 2: Regression -- Chapter 3: Time series models -- Chapter 4: Classification and Clustering -- Chapter 5: Ensemble methods.
Contained By:
Springer eBooks
標題:
Machine learning. -
電子資源:
http://dx.doi.org/10.1007/978-1-4842-2823-4
ISBN:
9781484228234
Python machine learning case studies = five case studies for the data scientist /
Haroon, Danish.
Python machine learning case studies
five case studies for the data scientist /[electronic resource] :by Danish Haroon. - Berkeley, CA :Apress :2017. - xvii, 204 p. :ill., digital ;24 cm.
Chapter 1: Statistics and Probability -- Chapter 2: Regression -- Chapter 3: Time series models -- Chapter 4: Classification and Clustering -- Chapter 5: Ensemble methods.
Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Study takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You'll see machine learning techniques that you can use to support your products and services. Moreover you'll learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python you'll be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning concepts Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view.
ISBN: 9781484228234
Standard No.: 10.1007/978-1-4842-2823-4doiSubjects--Topical Terms:
533906
Machine learning.
LC Class. No.: QA76.73.P98
Dewey Class. No.: 005.133
Python machine learning case studies = five case studies for the data scientist /
LDR
:02381nmm a2200325 a 4500
001
2111150
003
DE-He213
005
20180430153011.0
006
m d
007
cr nn 008maaau
008
180619s2017 cau s 0 eng d
020
$a
9781484228234
$q
(electronic bk.)
020
$a
9781484228227
$q
(paper)
024
7
$a
10.1007/978-1-4842-2823-4
$2
doi
035
$a
978-1-4842-2823-4
040
$a
GP
$c
GP
041
0
$a
eng
050
4
$a
QA76.73.P98
072
7
$a
UMA
$2
bicssc
072
7
$a
COM014000
$2
bisacsh
072
7
$a
COM018000
$2
bisacsh
082
0 4
$a
005.133
$2
23
090
$a
QA76.73.P98
$b
H292 2017
100
1
$a
Haroon, Danish.
$3
3264922
245
1 0
$a
Python machine learning case studies
$h
[electronic resource] :
$b
five case studies for the data scientist /
$c
by Danish Haroon.
260
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2017.
300
$a
xvii, 204 p. :
$b
ill., digital ;
$c
24 cm.
505
0
$a
Chapter 1: Statistics and Probability -- Chapter 2: Regression -- Chapter 3: Time series models -- Chapter 4: Classification and Clustering -- Chapter 5: Ensemble methods.
520
$a
Embrace machine learning approaches and Python to enable automatic rendering of rich insights. The book uses a hands-on case study-based approach to crack real-world applications to which machine learning concepts can be applied. These smarter machines will enable your business processes to achieve efficiencies on minimal time and resources. Python Machine Learning Case Study takes you through the steps to improve business processes and determine the pivotal points that frame strategies. You'll see machine learning techniques that you can use to support your products and services. Moreover you'll learn the pros and cons of each of the machine learning concepts presented. By taking a step-by-step approach to coding in Python you'll be able to understand the rationale behind model selection and decisions within the machine learning process. The book is equipped with practical examples along with code snippets to ensure that you understand the data science approach to solving real-world problems. You will: Gain insights into machine learning concepts Work on real-world applications of machine learning Get a hands-on overview to Python from a machine learning point of view.
650
0
$a
Machine learning.
$3
533906
650
0
$a
Python (Computer program language)
$3
729789
650
1 4
$a
Computer Science.
$3
626642
650
2 4
$a
Computing Methodologies.
$3
830243
650
2 4
$a
Python.
$3
3201289
650
2 4
$a
Big Data.
$3
3134868
650
2 4
$a
Programming Languages, Compilers, Interpreters.
$3
891123
650
2 4
$a
Programming Techniques.
$3
892496
650
2 4
$a
Database Management.
$3
891010
710
2
$a
SpringerLink (Online service)
$3
836513
773
0
$t
Springer eBooks
856
4 0
$u
http://dx.doi.org/10.1007/978-1-4842-2823-4
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
W9324235
電子資源
11.線上閱覽_V
電子書
EB QA76.73.P98
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