語系:
繁體中文
English
說明(常見問題)
登入
回首頁
切換:
標籤
|
MARC模式
|
ISBD
Machine Learning Applications Using ...
~
SpringerLink (Online service)
Machine Learning Applications Using Python = Cases Studies from Healthcare, Retail, and Finance /
紀錄類型:
書目-語言資料,印刷品 : Monograph/item
正題名/作者:
Machine Learning Applications Using Python/ by Puneet Mathur.
其他題名:
Cases Studies from Healthcare, Retail, and Finance /
作者:
Mathur, Puneet.
面頁冊數:
XVIII, 379 p. 80 illus.online resource. :
Contained By:
Springer Nature eBook
標題:
Artificial intelligence. -
電子資源:
https://doi.org/10.1007/978-1-4842-3787-8
ISBN:
9781484237878
Machine Learning Applications Using Python = Cases Studies from Healthcare, Retail, and Finance /
Mathur, Puneet.
Machine Learning Applications Using Python
Cases Studies from Healthcare, Retail, and Finance /[electronic resource] :by Puneet Mathur. - 1st ed. 2019. - XVIII, 379 p. 80 illus.online resource.
Chapter 1. Overview of machine learning in healthcare -- Chapter 2. Key technological advancements in healthcare -- Chapter 3. How to implement machine learning in healthcare -- Chapter 4. Case studies on how organizations are changing the game in the market -- Chapter 5. Pitfalls to avoid while implementing machine learning in healthcare -- Chapter 6. Healthcare specific innovative Ideas for monetizing machine learning -- Chapter 7. Overview of machine learning in retail -- Chapter 8. Key technological advancements in retail -- Chapter 9. How to implement machine learning in retail -- Chapter 10. Case studies on how organizations are changing the game in the market -- Chapter 11. Pitfalls to avoid while implementing machine learning in retail -- Chapter 12. Retail specific innovative Ideas for monetizing machine learning -- Chapter 13. Overview of machine learning in finance -- Chapter 14. Key technological advancements in finance -- Chapter 15. How to implement machine learning in finance -- Chapter 16. Case studies on how organizations are changing the game in the market -- Chapter 17. Pitfalls to avoid while implementing machine learning in finance -- Chapter 18. Finance specific innovative Ideas for monetizing machine learning. .
Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning. You will: Discover applied machine learning processes and principles Implement machine learning in areas of healthcare, finance, and retail Avoid the pitfalls of implementing applied machine learning Build Python machine learning examples in the three subject areas.
ISBN: 9781484237878
Standard No.: 10.1007/978-1-4842-3787-8doiSubjects--Topical Terms:
559380
Artificial intelligence.
LC Class. No.: Q334-342
Dewey Class. No.: 006.3
Machine Learning Applications Using Python = Cases Studies from Healthcare, Retail, and Finance /
LDR
:03857nam a22003975i 4500
001
1009832
003
DE-He213
005
20200703074040.0
007
cr nn 008mamaa
008
210106s2019 xxu| s |||| 0|eng d
020
$a
9781484237878
$9
978-1-4842-3787-8
024
7
$a
10.1007/978-1-4842-3787-8
$2
doi
035
$a
978-1-4842-3787-8
050
4
$a
Q334-342
072
7
$a
UYQ
$2
bicssc
072
7
$a
COM004000
$2
bisacsh
072
7
$a
UYQ
$2
thema
082
0 4
$a
006.3
$2
23
100
1
$a
Mathur, Puneet.
$e
author.
$4
aut
$4
http://id.loc.gov/vocabulary/relators/aut
$3
1303848
245
1 0
$a
Machine Learning Applications Using Python
$h
[electronic resource] :
$b
Cases Studies from Healthcare, Retail, and Finance /
$c
by Puneet Mathur.
250
$a
1st ed. 2019.
264
1
$a
Berkeley, CA :
$b
Apress :
$b
Imprint: Apress,
$c
2019.
300
$a
XVIII, 379 p. 80 illus.
$b
online resource.
336
$a
text
$b
txt
$2
rdacontent
337
$a
computer
$b
c
$2
rdamedia
338
$a
online resource
$b
cr
$2
rdacarrier
347
$a
text file
$b
PDF
$2
rda
505
0
$a
Chapter 1. Overview of machine learning in healthcare -- Chapter 2. Key technological advancements in healthcare -- Chapter 3. How to implement machine learning in healthcare -- Chapter 4. Case studies on how organizations are changing the game in the market -- Chapter 5. Pitfalls to avoid while implementing machine learning in healthcare -- Chapter 6. Healthcare specific innovative Ideas for monetizing machine learning -- Chapter 7. Overview of machine learning in retail -- Chapter 8. Key technological advancements in retail -- Chapter 9. How to implement machine learning in retail -- Chapter 10. Case studies on how organizations are changing the game in the market -- Chapter 11. Pitfalls to avoid while implementing machine learning in retail -- Chapter 12. Retail specific innovative Ideas for monetizing machine learning -- Chapter 13. Overview of machine learning in finance -- Chapter 14. Key technological advancements in finance -- Chapter 15. How to implement machine learning in finance -- Chapter 16. Case studies on how organizations are changing the game in the market -- Chapter 17. Pitfalls to avoid while implementing machine learning in finance -- Chapter 18. Finance specific innovative Ideas for monetizing machine learning. .
520
$a
Gain practical skills in machine learning for finance, healthcare, and retail. This book uses a hands-on approach by providing case studies from each of these domains: you’ll see examples that demonstrate how to use machine learning as a tool for business enhancement. As a domain expert, you will not only discover how machine learning is used in finance, healthcare, and retail, but also work through practical case studies where machine learning has been implemented. Machine Learning Applications Using Python is divided into three sections, one for each of the domains (healthcare, finance, and retail). Each section starts with an overview of machine learning and key technological advancements in that domain. You’ll then learn more by using case studies on how organizations are changing the game in their chosen markets. This book has practical case studies with Python code and domain-specific innovative ideas for monetizing machine learning. You will: Discover applied machine learning processes and principles Implement machine learning in areas of healthcare, finance, and retail Avoid the pitfalls of implementing applied machine learning Build Python machine learning examples in the three subject areas.
650
0
$a
Artificial intelligence.
$3
559380
650
0
$a
Python (Computer program language).
$3
1127623
650
0
$a
Open source software.
$3
561177
650
0
$a
Computer programming.
$3
527822
650
1 4
$a
Artificial Intelligence.
$3
646849
650
2 4
$a
Python.
$3
1115944
650
2 4
$a
Open Source.
$3
1113081
710
2
$a
SpringerLink (Online service)
$3
593884
773
0
$t
Springer Nature eBook
776
0 8
$i
Printed edition:
$z
9781484237861
776
0 8
$i
Printed edition:
$z
9781484237885
776
0 8
$i
Printed edition:
$z
9781484247143
856
4 0
$u
https://doi.org/10.1007/978-1-4842-3787-8
912
$a
ZDB-2-CWD
912
$a
ZDB-2-SXPC
950
$a
Professional and Applied Computing (SpringerNature-12059)
950
$a
Professional and Applied Computing (R0) (SpringerNature-43716)
筆 0 讀者評論
多媒體
評論
新增評論
分享你的心得
Export
取書館別
處理中
...
變更密碼[密碼必須為2種組合(英文和數字)及長度為10碼以上]
登入