Auf Lager:
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Buch (Softcover): Fachbuch
Machine Learning Design Patterns
Solutions to Common Challenges in Data Preparation, Model Building, and MLOps
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Verlag:
Oreilly Media Unsere-Artikel-Nr.: RQ5R2QP
EAN: 9781098115784
Auf Lager:
1
Zustellung: Do, 04.06.2026
Versand: Kostenlos
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CHF 89.–
CHF 71.–
Beschreibung
The design patterns in this book capture best practices and solutions to recurring problems in machine learning. The authors, three Google engineers, catalog proven methods to help data scientists tackle common problems throughout the ML process. These design patterns codify the experience of hundreds of experts into straightforward, approachable advice. In this book, you will find detailed explanations of 30 patterns for data and problem representation, operationalization, repeatability, reproducibility, flexibility, explainability, and fairness. Each pattern includes a description of the problem, a variety of potential solutions, and recommendations for choosing the best technique for your situation. -
Spezifikationen
Sprache
- Englisch
Autor
- Valliappa Lakshmanan
- Sara Robinson
- Michael Munn
Erscheinungsjahr
- 2020
Format
- Buch (Softcover)
Anzahl Seiten
- 390