Introduction to Machine Learning in the Cloud with Python (Record no. 78369)
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fixed length control field | 03058nam a22005655i 4500 |
001 - CONTROL NUMBER | |
control field | 978-3-030-71270-9 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20220801220242.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 210428s2021 sz | s |||| 0|eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
ISBN | 9783030712709 |
-- | 978-3-030-71270-9 |
082 04 - CLASSIFICATION NUMBER | |
Call Number | 621.38 |
100 1# - AUTHOR NAME | |
Author | Gupta, Pramod. |
245 10 - TITLE STATEMENT | |
Title | Introduction to Machine Learning in the Cloud with Python |
Sub Title | Concepts and Practices / |
250 ## - EDITION STATEMENT | |
Edition statement | 1st ed. 2021. |
300 ## - PHYSICAL DESCRIPTION | |
Number of Pages | XIX, 284 p. 158 illus., 146 illus. in color. |
505 0# - FORMATTED CONTENTS NOTE | |
Remark 2 | 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 ## - SUMMARY, ETC. | |
Summary, etc | 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. |
700 1# - AUTHOR 2 | |
Author 2 | Sehgal, Naresh K. |
856 40 - ELECTRONIC LOCATION AND ACCESS | |
Uniform Resource Identifier | https://doi.org/10.1007/978-3-030-71270-9 |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | eBooks |
264 #1 - | |
-- | Cham : |
-- | Springer International Publishing : |
-- | Imprint: Springer, |
-- | 2021. |
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-- | text |
-- | txt |
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337 ## - | |
-- | computer |
-- | c |
-- | rdamedia |
338 ## - | |
-- | online resource |
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347 ## - | |
-- | text file |
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-- | rda |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Cooperating objects (Computer systems). |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine learning. |
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Cloud Computing. |
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Cyber-Physical Systems. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Machine Learning. |
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1 | |
-- | Cloud Computing. |
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-- | ZDB-2-ENG |
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-- | ZDB-2-SXE |
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