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230808 ||| eng |
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|a 9781633439023
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| 050 |
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4 |
|a Q325.5
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1 |
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|a Thompson, Simon G.
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| 245 |
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|a Delivering machine learning projects
|b from design to deployment
|c Simon Thompson
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| 260 |
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|a Shelter Island, NY
|b Manning Publications
|c 2023
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| 300 |
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|a 275 pages
|b illustrations
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| 505 |
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|a Includes bibliographical references and index
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| 653 |
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|a Machine learning / Management
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| 653 |
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|a Project management / fast
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| 653 |
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|a Apprentissage automatique / Gestion
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| 653 |
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|a Project management / http://id.loc.gov/authorities/subjects/sh85065919
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| 653 |
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|a Gestion de projet
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| 041 |
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7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b OREILLY
|a O'Reilly
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| 776 |
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|z 163343902X
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| 776 |
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|z 9781633439023
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| 776 |
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|z 163343902X
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| 856 |
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|u https://learning.oreilly.com/library/view/~/9781633439023/?ar
|x Verlag
|3 Volltext
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|a 658
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|a 658.404
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|a 006.3/1
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| 520 |
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|a Managing Machine Learning Projects is an end-to-end guide for delivering machine learning applications on time and under budget. It lays out tools, approaches, and processes designed to handle the unique challenges of machine learning project management. You'll follow an in-depth case study through a series of sprints and see how to put each technique into practice. The book's strong consideration to data privacy, and community impact ensure your projects are ethical, compliant with global legislation, and avoid being exposed to failure from bias and other issues
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