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