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Machine learning in production : developing and optimizing data science workflows and applications / Andrew Kelleher, Adam Kelleher

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BookSeries: Addison-Wesley data & analytics series.Boston, Calif. : Addison-Wesley, ©2019Description: xx, 255 pages : illustrations (some colors).Content type: text Media type: unmediated Carrier type: volumeISBN: 9780134116549.Call No.: Q325.5 K444M 2019 Subject(s): Machine learning | Cloud computing | Quantitative research | Mathematical statistics -- Data processingBibliography, etc. Note: Includes bibliographical references and index

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Current location	Call number	Status	Date due	Barcode
Main Campus Book Shelves	Q325.5 K444M 2019 (Browse shelf)	Available		2019000001168

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Previous	Q325.5 C747I An introduction to support vector machines : and other kernel-based learning methods	Q325.5 F522M Machine learning :	Q325.5 G476H 2017 Hands-on machine learning with scikit-learn and tensorflow : concepts, tools, and techniques to build intelligent systems /	Q325.5 K444M 2019 Machine learning in production : developing and optimizing data science workflows and applications /	Q325.5 L577M 2019 Machine learning for signal processing : data science, algorithms, and computational statistics /	Q325.5 M572M Machine learning	Q325.5 S364L Learning with kernels :	Next

Includes bibliographical references and index

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