Machine learning in production: developing and optimizing data science workflows and applications/ by Andrew Kelleher and Adam Kelleher
By: Kelleher, Andrew [author].
Contributor(s): Kelleher, Adam [joint author].
Material type:
TextPublisher: Noida: Pearson, 2020Description: xxii, 228 p.: ill.; 25 cm.ISBN: 9789389588507:.Subject(s): MACHINE LEARNING | MATHEMATICAL STATISTICS -- DATA PROCESSINGDDC classification: 006.31
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Computer Science Dept. Library Library Annex (Ground Floor) | 006.31 KEL/M (Browse shelf) | Not For Loan (Restricted Access) | 119480 | ||
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Central Library Library Annex (Ground Floor) | 006.31 KEL/M (Browse shelf) | 1 | Available | 120175 | |
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Central Library Library Annex (Ground Floor) | 006.31 KEL/M (Browse shelf) | 2 | Available | 120177 | |
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Central Library Library Annex (Ground Floor) | 006.31 KEL/M (Browse shelf) | 3 | Available | 120176 |
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| 006.31 GIF/P Pragmatic A I: | 006.31 GOL/G Genetic algorithms in search, optimization, and machine learning/ | 006.31 KAN/M Machine learning for spatial environmental data : theory, applications and software (With CD) / | 006.31 KEL/M Machine learning in production: | 006.31 KEL/M Machine learning in production: | 006.31 KEL/M Machine learning in production: | 006.31 KEL/M Machine learning in production: |
Includes bibliographical references and index.
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