Applied Machine Learning and AI for Engineers Solve Business Problems that Can't be Solved Algorithmically (Record no. 814546)

MARC details
000 -LEADER
fixed length control field 02321nam a22002537a 4500
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 240227s2023 |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781492098058
022 ## - INTERNATIONAL STANDARD SERIAL NUMBER
ISSN-L 9781492098058
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title English
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number PRO
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Prosise, Jeff
9 (RLIN) 146533
Relator term author
245 ## - TITLE STATEMENT
Title Applied Machine Learning and AI for Engineers Solve Business Problems that Can't be Solved Algorithmically
250 ## - EDITION STATEMENT
Edition statement 1st
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Beijing :
Name of publisher, distributor, etc. O'Reilly,
Date of publication, distribution, etc. c2023
300 ## - PHYSICAL DESCRIPTION
Extent xx, 400 p.
Other physical details : ill
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Index
520 ## - SUMMARY, ETC.
Summary, etc. SUMMARY: While many introductory guides to AI are calculus books in disguise, this one mostly eschews the math. Instead, author Jeff Prosise helps engineers and software developers build an intuitive understanding of AI to solve business problems. Need to create a system to detect the sounds of illegal logging in the rainforest, analyze text for sentiment, or predict early failures in rotating machinery? This practical book teaches you the skills necessary to put AI and machine learning to work at your company.<br/><br/>Applied Machine Learning and AI for Engineers provides examples and illustrations from the AI and ML course Prosise teaches at companies and research institutions worldwide. There's no fluff and no scary equations—just a fast start for engineers and software developers, complete with hands-on examples.<br/><br/>This book helps you:<br/><br/> Learn what machine learning and deep learning are and what they can accomplish<br/> Understand how popular learning algorithms work and when to apply them<br/> Build machine learning models in Python with Scikit-Learn, and neural networks with Keras and TensorFlow<br/> Train and score regression models and binary and multiclass classification models<br/> Build facial recognition models and object detection models<br/> Build language models that respond to natural-language queries and translate text to other languages<br/> Use Cognitive Services to infuse AI into the apps that you write
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) 151655
Topical term or geographic name entry element Artificial Intelligence
700 ## - ADDED ENTRY--PERSONAL NAME
Relator term forwarded
Personal name Prosise, Adam
9 (RLIN) 879377
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text TOC
Uniform Resource Identifier <a href="https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781492098058.pdf">https://eaklibrary.neduet.edu.pk:8443/catalog/bk/books/toc/9781492098058.pdf</a>
856 ## - ELECTRONIC LOCATION AND ACCESS
Link text WEB LINK
Uniform Resource Identifier <a href="https://www.oreilly.com/library/view/applied-machine-learning/9781492098041/">https://www.oreilly.com/library/view/applied-machine-learning/9781492098041/</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 Purchased by Department/Discipline 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
    Dewey Decimal Classification Text, Paperback     Department of Mechanical Engineering Reference Section Reference Section Reference Section 22/02/2024 22 Purchased 23221.82   006.31 PRO 98632 22/02/2024 2023-24 23221.81 22/02/2024 Reference Collection