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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Books
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Central Library Library Annex (Ground Floor) | 006.31 KEL/M (Browse shelf) | 3 | Available | 120176 |
Browsing Central Library Shelves , Shelving location: Library Annex (Ground Floor) Close shelf browser
| 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: | 006.31 KRO/D Deep Learning illustrated:a visual,interactive guide to artificial intelligence / | 006.31 MAR/M Machine learning : an algorithmic perspective / | 006.31 MIC/A Advanced applied deep learning:convolutional neural networks and object detection / |
Includes bibliographical references and index.
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