مكتبة جامعة عجلون الوطنية Search for 'su:{Machine learning}'

Machine Learning

By Mitchell,tom,.
London:MCGRAW-HILL HIGHER EducaTION.1997 .
414p 0-07-115467-1

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Machine Learning

By Mitchell,tom,.
London:MCGRAW-HILL HIGHER EducaTION.1997 .
414p 0-07-115467-1

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DATA mining practical Machine Learning Tools And Techniques

By Frank,Eibe/Witten,Lan,.
Elsevier:Amsterdam,2005 .
522p 978-0-12-088407-0

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DATA mining practical Machine Learning Tools And Techniques

By Frank,Eibe/Witten,Lan,.
Elsevier:Amsterdam,2005 .
522p 978-0-12-088407-0

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Deep learning for coders with fastai and PyTorch : AI applications without a PhD /

By Howard, Jeremy.
Sebastopol, California : O'Reilly Media, Inc., .
xxiv, 594 pages : , "Powered by jupyter"--Cover | Includes index 24 cm.
9781492045526 | 1492045527

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Introduction to machine learning with applications in information security /

By Stamp, Mark,.
Boca Raton : CRC Press, .
pages cm. 9781032204925 | 9781032207179

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Essential math for data science : take control of your data with fundamental linear algebra, probability, and statistics /

By Nield, Thomas.
Beijing ; | Boston : O'Reilly, .
xiv, 332 pages ; , Includes index. 24 cm.
9781098102937 | 1098102932

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Designing machine learning systems : an iterative process for production-ready applications /

By Huyen, Chip,.
Sebastopol, CA : O'Reilly Media, Inc., .
xvi, 367 pages : 24 cm.
1098107969 | 9781098107963

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Deep learning /

By Kelleher, John D.,.
Cambridge, Massachusetts : The MIT Press, .
x, 280 pages : 18 cm..
9780262537551

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Hands-on machine learning with Scikit-Learn, Keras and TensorFlow : concepts, tools, and techniques to build intelligent systems /

By Géron, Aurélien,.
Beijing : O'Reilly Media, Inc., .
xxv, 834 pages : , Previous editions: 2019, 2017. 24 cm.
9781098125974 | 1098125975

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Generative deep learning : teaching machines to paint, write, compose, and play /

By Foster, David.
Sebastopol, CA : O'Reilly Media, Inc., .
xv, 308 pages : 24 cm.
9781492041948 | 1492041947

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An introduction to pattern recognition and machine learning /

By Fieguth, Paul,.
Cham : Springer, .
1 online resource (xxii, 471 pages) : 9783030959951 | 3030959953

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