Training data for machine learning: human supervision from annotation to data science
Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace th...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Bejing ; Boston ; Farnham ; Sebastopol ; Tokyo
O'Reilly
2023
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| Ausgabe: | First edition |
| Schlagworte: | |
| Zusammenfassung: | Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. You'll gain a solid understanding of the concepts, tools, and processes needed to: Design, deploy, and ship training data for production-grade deep learning applications Integrate with a growing ecosystem of tools Recognize and correct new training data-based failure modes Improve existing system performance and avoid development risks Confidently use automation and acceleration approaches to more effectively create training data Avoid data loss by structuring metadata around created datasets Clearly explain training data concepts to subject matter experts and other shareholders Successfully maintain, operate, and improve your system |
| Beschreibung: | xxii, 306 Seiten Illustrationen |
| ISBN: | 9781492094524 |
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| isbn | 9781492094524 |
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| spelling | Sarkis, Anthony Verfasser aut Training data for machine learning human supervision from annotation to data science Anthony Sarkis First edition Bejing ; Boston ; Farnham ; Sebastopol ; Tokyo O'Reilly 2023 xxii, 306 Seiten Illustrationen txt rdacontent n rdamedia nc rdacarrier Your training data has as much to do with the success of your data project as the algorithms themselves--most failures in deep learning systems relate to training data. But while training data is the foundation for successful machine learning, there are few comprehensive resources to help you ace the process. This hands-on guide explains how to work with and scale training data. You'll gain a solid understanding of the concepts, tools, and processes needed to: Design, deploy, and ship training data for production-grade deep learning applications Integrate with a growing ecosystem of tools Recognize and correct new training data-based failure modes Improve existing system performance and avoid development risks Confidently use automation and acceleration approaches to more effectively create training data Avoid data loss by structuring metadata around created datasets Clearly explain training data concepts to subject matter experts and other shareholders Successfully maintain, operate, and improve your system Trainingsdaten (DE-588)1294096656 gnd rswk-swf Maschinelles Lernen (DE-588)4193754-5 gnd rswk-swf Database management Machine learning Management information systems Business / Databases / Management Information storage and retrieval systems / Reliability Electronic books ; local Electronic books Bases de données ; Gestion Apprentissage automatique Systèmes d'information de gestion Affaires ; Bases de données ; Gestion Systèmes d'information ; Fiabilité Maschinelles Lernen (DE-588)4193754-5 s Trainingsdaten (DE-588)1294096656 s DE-604 Erscheint auch als Online-Ausgabe 978-1-4920-9447-0 |
| spellingShingle | Sarkis, Anthony Training data for machine learning human supervision from annotation to data science Trainingsdaten (DE-588)1294096656 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| subject_GND | (DE-588)1294096656 (DE-588)4193754-5 |
| title | Training data for machine learning human supervision from annotation to data science |
| title_auth | Training data for machine learning human supervision from annotation to data science |
| title_exact_search | Training data for machine learning human supervision from annotation to data science |
| title_exact_search_txtP | Training data for machine learning human supervision from annotation to data science |
| title_full | Training data for machine learning human supervision from annotation to data science Anthony Sarkis |
| title_fullStr | Training data for machine learning human supervision from annotation to data science Anthony Sarkis |
| title_full_unstemmed | Training data for machine learning human supervision from annotation to data science Anthony Sarkis |
| title_short | Training data for machine learning |
| title_sort | training data for machine learning human supervision from annotation to data science |
| title_sub | human supervision from annotation to data science |
| topic | Trainingsdaten (DE-588)1294096656 gnd Maschinelles Lernen (DE-588)4193754-5 gnd |
| topic_facet | Trainingsdaten Maschinelles Lernen |
| work_keys_str_mv | AT sarkisanthony trainingdataformachinelearninghumansupervisionfromannotationtodatascience |