Artificial Intelligence with Python (Record no. 701438)

MARC details
000 -LEADER
fixed length control field 03370nam a22002777a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230406s2022 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789811686146
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9789811686146
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3
Item number TEO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Teoh, Teik Toe
9 (RLIN) 674315
Relator term author
245 ## - TITLE STATEMENT
Title Artificial Intelligence with Python
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Singapore :
Name of publisher, distributor, etc. Springer,
Date of publication, distribution, etc. c2022
300 ## - PHYSICAL DESCRIPTION
Extent XIV, 336 p.
Other physical details : ill
490 ## - SERIES STATEMENT
Series statement Machine Learning Foundations Methodologies and Applications
500 ## - GENERAL NOTE
General note Dr. Teoh <br/>has been pursuing research in big data, deep learning, cybersecurity, artificial intelligence, machine learning, and software development for more than 25 years. His works have been published in more than 50 journals, conference proceedings, books, and book chapters. His qualifications include a PhD in computer engineering from the NTU, Doctor of Business Administration from the University of Newcastle, Master of Law from the NUS, LLB and LLM from the UoL, CFA, ACCA, and CIMA. He has more than 15 years’ experience in data mining, quantitative analysis, data statistics, finance, accounting, and law and is passionate about the synergy between business and technology.<br/><br/>Zheng Rong <br/>is a software engineer with 4 years of experience. He embraces the ambiguity of data and enjoys the challenges presented by business problems. He has 3 years of teaching experience in data mining and data science, and has coauthored three journal publications on machine learning and deep learning. He is interested in making learning programming and technology easy for all, including those from a non-technical background.
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Bibliographical References and Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY:<br/>Entering the field of artificial intelligence and data science can seem daunting to beginners with little to no prior background, especially those with no programming experience. The concepts used in self-driving cars and virtual assistants like Amazon’s Alexa may seem very complex and difficult to grasp. The aim of Artificial Intelligence in Python is to make AI accessible and easy to understand for people with little to no programming experience though practical exercises. Newcomers will gain the necessary knowledge on how to create such systems, which are capable of executing tasks that require some form of human-like intelligence.<br/><br/>This book introduces readers to various topics and examples of programming in Python, as well as key concepts in artificial intelligence. Python programming skills will be imparted as we go along. Concepts and code snippets will be covered in a step-by-step manner, to guide and instill confidence in beginners. Complex subjects in deep learning and machine learning will be broken down into easy-to-digest content and examples. Artificial intelligence implementations will also be shared, allowing beginners to generate their own artificial intelligence algorithms for reinforcement learning, style transfer, chatbots, speech, and natural language processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 1561
Topical term or geographic name entry element Python Computer Program Language
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 845
Topical term or geographic name entry element Machine Learning
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
9 (RLIN) 161081
Topical term or geographic name entry element Artificial Intelligence
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term author
Personal name Rong, Zheng
9 (RLIN) 674358
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9789811686146.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9789811686146.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://link.springer.com/book/10.1007/978-981-16-8615-3#affiliations">https://link.springer.com/book/10.1007/978-981-16-8615-3#affiliations</a>
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Physical Form Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Stock Type Cost, normal purchase price Total Checkouts Full call number Barcode Date last seen Budget Year Cost, replacement price Accession Date Koha item type Date last checked out Total Renewals Date due
    Dewey Decimal Classification Text, Hardcover     Circulation Section Circulation Section Circulation Section 30/03/2023 10 Purchased 10309.46 2 006.3 TEO 98110 14/02/2024 2022-23 12128.78 30/03/2023 Lending Collection 10/07/2023    
    Dewey Decimal Classification Text, Hardcover     Circulation Section Circulation Section Circulation Section 30/03/2023 10 Purchased 10309.46 7 006.3 TEO 98111 14/03/2024 2022-23 12128.78 30/03/2023 Lending Collection 14/03/2024 9 16/05/2024
    Dewey Decimal Classification Text, Hardcover     Reference Section Reference Section Reference Section 30/03/2023 10 Purchased 10309.46   006.3 TEO 98109 16/02/2024 2022-23 12128.78 30/03/2023 Reference Collection      
    Dewey Decimal Classification Text, Hardcover     Reference Section Reference Section Reference Section 14/09/2023 24 Purchased 24223.84   006.3 TEO 98437 16/02/2024 2023-24 30279.80 14/09/2023 Reference Collection