Introducing MLOps
O'Reilly Media (Verlag)
978-1-4920-8329-0 (ISBN)
This book introduces the key concepts of MLOps to help data scientists and application engineers not only operationalize ML models to drive real business change but also maintain and improve those models over time. Through lessons based on numerous MLOps applications around the world, nine experts in machine learning provide insights into the five steps of the model life cycle--Build, Preproduction, Deployment, Monitoring, and Governance--uncovering how robust MLOps processes can be infused throughout.
This book helps you:
Fulfill data science value by reducing friction throughout ML pipelines and workflows
Refine ML models through retraining, periodic tuning, and complete remodeling to ensure long-term accuracy
Design the MLOps life cycle to minimize organizational risks with models that are unbiased, fair, and explainable
Operationalize ML models for pipeline deployment and for external business systems that are more complex and less standardized
Clement Stenac is a passionate software engineer, CTO and co-founder at Dataiku. He oversees the design, development of the Dataiku DSS Entreprise AI Platform. Clement was previously head of product development at Exalead, leading the design and implementation of web-scale search engine software. He also has extensive experience with open source software, as a former developer of the VideoLAN (VLC) and Debian projects. Leo Dreyfus-Schmidt is a mathematician and holds a PhD in pure mathematics from University of Oxford and University of Paris VII. After five years focusing on homological algebra and representation theory in Paris, Oxford, and the University of California - Los Angeles, he joined Dataiku where he has been developing solutions for predictive maintenance, personalized ranking systems, price elasticity, and natural language applications. Kenji Lefevre is VP Product at Dataiku. He oversees the product roadmap and the user experience of the Dataiku DSS Entreprise AI Platform. He holds a PhD in pure mathematics from University of Paris VII, and he directed documentary movies before switching to Data Science and product management. Nicolas Omont is a Product Manager at Dataiku in charge of Machine-Learning and advanced analytics. He holds a PhD in Computer Science, and he's been working in operations research and statistics for the past 15 years mainly in the telecommunication and in the energy utility sectors. Mark Treveil has designed products in fields as diverse as telecoms, banking, and online trading. His own startup led a revolution in governance in the UK local government, where it still dominates. He is now part of the Dataiku Product Team based in Paris.
| Erscheinungsdatum | 15.01.2021 |
|---|---|
| Verlagsort | Sebastopol |
| Sprache | englisch |
| Maße | 178 x 233 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| ISBN-10 | 1-4920-8329-1 / 1492083291 |
| ISBN-13 | 978-1-4920-8329-0 / 9781492083290 |
| Zustand | Neuware |
| Haben Sie eine Frage zum Produkt? |
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