Artificial intelligence infrastructure workshop (Record no. 358393)

MARC details
000 -LEADER
fixed length control field 01956nam a22002177a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250530112138.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250530b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781800209848
040 ## - CATALOGING SOURCE
Transcribing agency AACR-II
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.3 ART
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Arankalle, Chinmay...et.al.
9 (RLIN) 10981
245 ## - TITLE STATEMENT
Title Artificial intelligence infrastructure workshop
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Birmingham
Name of publisher, distributor, etc. Packt Publishing
Date of publication, distribution, etc. 2020
300 ## - PHYSICAL DESCRIPTION
Extent 678 p.
520 ## - SUMMARY, ETC.
Summary, etc. Social networking sites see an average of 350 million uploads daily - a quantity impossible for humans to scan and analyze. Only AI can do this job at the required speed, and to leverage an AI application at its full potential, you need an efficient and scalable data storage pipeline. The Artificial Intelligence Infrastructure Workshop will teach you how to build and manage one.<br/><br/>The Artificial Intelligence Infrastructure Workshop begins taking you through some real-world applications of AI. You'll explore the layers of a data lake and get to grips with security, scalability, and maintainability. With the help of hands-on exercises, you'll learn how to define the requirements for AI applications in your organization. This AI book will show you how to select a database for your system and run common queries on databases such as MySQL, MongoDB, and Cassandra. You'll also design your own AI trading system to get a feel of the pipeline-based architecture. As you learn to implement a deep Q-learning algorithm to play the CartPole game, you'll gain hands-on experience with PyTorch. Finally, you'll explore ways to run machine learning models in production as part of an AI application.<br/><br/>By the end of the book, you'll have learned how to build and deploy your own AI software at scale, using various tools, API frameworks, and serialization methods.
600 ## - SUBJECT ADDED ENTRY--PERSONAL NAME
Personal name Technology Sector
9 (RLIN) 10982
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Artificial Intelligence
9 (RLIN) 10983
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine Learning
9 (RLIN) 10984
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Holdings
Date last seen Total Checkouts Full call number Barcode Price effective from Koha item type Lost status Source of classification or shelving scheme Damaged status Not for loan Withdrawn status Home library Current library Date acquired
2025-05-30   006.3 ART 178542 2025-05-30 Books Not Missing Dewey Decimal Classification Not Damaged     Gandhi Smriti Library Gandhi Smriti Library 2025-05-30

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