東華大學圖書館 |

語系: 繁體中文

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

Introduction to machine learning in ...

Gupta, Pramod.

FindBook

Google Book

Amazon

博客來

Introduction to machine learning in the cloud with Python = concepts and practices /

紀錄類型:	書目-電子資源 : Monograph/item
正題名/作者:	Introduction to machine learning in the cloud with Python/ by Pramod Gupta, Naresh K. Sehgal.
其他題名:	concepts and practices /
作者:	Gupta, Pramod.
其他作者:	Sehgal, Naresh K.
出版者:	Cham :Springer International Publishing : : 2021.,
面頁冊數:	xix, 284 p. :ill. (some col.), digital ;24 cm.
內容註:	Introduction to Machine Learning -- Foundations of Machine Learning -- Deep Learning and cloud computing -- Cloud Computing Concepts -- Practical Aspects in Machine Learning -- Artificial Intelligence and Information Security -- Examples of Analytics in the Cloud -- A case study of Data Collection and Analytics in the Cloud -- Future trends in Hardware based AI and ML.
Contained By:	Springer Nature eBook
標題:	Machine learning. -
電子資源:	https://doi.org/10.1007/978-3-030-71270-9
ISBN:	9783030712709

Introduction to machine learning in the cloud with Python = concepts and practices /
Gupta, Pramod.

Introduction to machine learning in the cloud with Pythonconcepts and practices /[electronic resource] :by Pramod Gupta, Naresh K. Sehgal. - Cham :Springer International Publishing :2021. - xix, 284 p. :ill. (some col.), digital ;24 cm.

Introduction to Machine Learning -- Foundations of Machine Learning -- Deep Learning and cloud computing -- Cloud Computing Concepts -- Practical Aspects in Machine Learning -- Artificial Intelligence and Information Security -- Examples of Analytics in the Cloud -- A case study of Data Collection and Analytics in the Cloud -- Future trends in Hardware based AI and ML.

This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies. Provides broad coverage of AI, Machine Learning and Cloud Computing; Uses real examples and case studies to demonstrate key topics; Demonstrates concepts, as well as practical usage.

ISBN: 9783030712709

Standard No.: 10.1007/978-3-030-71270-9doiSubjects--Topical Terms:

533906
Machine learning.

LC Class. No.: Q325.5 / .G878 2021

Dewey Class. No.: 006.31

Introduction to machine learning in the cloud with Python = concepts and practices /
LDR:02087nmm a2200337 a 4500 001 2239928
003 DE-He213
005 20210728115501.0
006 m d
007 cr nn 008maaau
008 211111s2021 sz s 0 eng d
020 $a 9783030712709 $q (electronic bk.)
020 $a 9783030712693 $q (paper)
024 7 $a 10.1007/978-3-030-71270-9 $2 doi
035 $a 978-3-030-71270-9
040 $a GP $c GP
041 0 $a eng
050 4 $a Q325.5 $b .G878 2021
072 7 $a THR $2 bicssc
072 7 $a TEC007000 $2 bisacsh
072 7 $a THR $2 thema
072 7 $a GPFC $2 thema
082 0 4 $a 006.31 $2 23
090 $a Q325.5 $b .G977 2021
100 1 $a Gupta, Pramod. $3 3331736
245 1 0 $a Introduction to machine learning in the cloud with Python $h [electronic resource] : $b concepts and practices / $c by Pramod Gupta, Naresh K. Sehgal.
260 $a Cham : $b Springer International Publishing : $b Imprint: Springer, $c 2021.
300 $a xix, 284 p. : $b ill. (some col.), digital ; $c 24 cm.
505 0 $a Introduction to Machine Learning -- Foundations of Machine Learning -- Deep Learning and cloud computing -- Cloud Computing Concepts -- Practical Aspects in Machine Learning -- Artificial Intelligence and Information Security -- Examples of Analytics in the Cloud -- A case study of Data Collection and Analytics in the Cloud -- Future trends in Hardware based AI and ML.
520 $a This book provides an introduction to machine learning and cloud computing, both from conceptual and practical levels, along with their usage with a Public Cloud infrastructure. The authors emphasize fundamentals and best practices for using AI and ML in a dynamic infrastructure with cloud computing and security considerations, preparing readers to select and make use of appropriate techniques. Important topics are demonstrated using real applications and several case studies. Provides broad coverage of AI, Machine Learning and Cloud Computing; Uses real examples and case studies to demonstrate key topics; Demonstrates concepts, as well as practical usage.
650 0 $a Machine learning. $3 533906
650 0 $a Cloud computing. $3 1016782
650 0 $a Python (Computer program language) $3 729789
650 1 4 $a Cyber-physical systems, IoT. $3 3386699
650 2 4 $a Machine Learning. $3 3382522
650 2 4 $a Professional Computing. $3 3201325
700 1 $a Sehgal, Naresh K. $3 3494383
710 2 $a SpringerLink (Online service) $3 836513
773 0 $t Springer Nature eBook
856 4 0 $u https://doi.org/10.1007/978-3-030-71270-9
950 $a Engineering (SpringerNature-11647)