Machine learning in production: developing and optimizing data science workflows and applications / Andrew Kelleher and Adam Kelleher
By: Kelleher, Andrew.
Contributor(s): Kelleher, Adam.
Publisher: Noida: Pearson, 2020Description: xxii, 228 p. illustrations; 25 cm.ISBN: 9789389588507.Subject(s): MACHINE LEARNING | MATHEMATICAL STATISTICS -- DATA PROCESSINGDDC classification: 006.31Item type | Current location | Call number | Status | Date due | Barcode |
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Central Library Processing Unit | Available | 120175 | ||
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Central Library Processing Unit | Available | 120176 | ||
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Central Library Processing Unit | Available | 120177 | ||
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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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006.31 GIF/P Pragmatic A I: | 006.31 GIF/P Pragmatic A I: | 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 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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