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Applied Machine Learning and AI for Engineers: (Record no. 34726)

MARC details
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 978-1492098058
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Author Mark PRO-A
100 ## - MAIN ENTRY--AUTHOR
Author Name Prosise, Jeff
245 ## - TITLE STATEMENT
Title Applied Machine Learning and AI for Engineers:
Sub-Title Solve Business Problems That Can't Be Solved Algorithmically
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of Publication Sebastopol CA,
Name of publisher, distributor, etc. O'Reilly Media
Date of publication, distribution, etc. 2023
300 ## - PHYSICAL DESCRIPTION
Pages 400p.
500 ## - GENERAL NOTE
General note 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
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Includes Index.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Book
Holdings
Withdrawn status Not for loan Collection code Permanent Location Current Location Shelving Location Date acquired Source of acquisition Price Full Call Number Accession No./Barcode Date last seen Koha item type
    Cyber Security Air University Kharian Campus Library Air University Kharian Campus Library Cyber Security 02/17/2025 Ali Book Service 2062.00 006.31 PRO-A AUKHP0348 04/09/2025 Book
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