| 书目名称 | Machine Learning Governance for Managers | | 编辑 | Francesca Lazzeri,Alexei Robsky | | 视频video | | | 概述 | Helps data science managers to scale and become more data- and AI-driven.Helps break through the complexity and challenges of moving data science and machine learning projects to production.Helps orga | | 图书封面 |  | | 描述 | .Machine Learning Governance for Managers. provides readers with the knowledge to unlock insights from data and leverage AI solutions. In today‘s business landscape, most organizations face challenges in scaling and maintaining a sustainable machine learning model lifecycle. This book offers a comprehensive framework that covers business requirements, data generation and acquisition, modeling, model deployment, performance measurement, and management, providing a range of methodologies, technologies, and resources to assist data science managers in adopting data and AI-driven practices. Particular emphasis is given to ramping up a solution quickly, detailing skills and techniques to ensure the right things are measured and acted upon for reliable results and high performance..Readers will learn sustainable tools for implementing machine learning with existing IT and privacy policies, including versioning all models, creating documentation, monitoring models and their results, and assessing their causal business impact. By overcoming these challenges, bottom-line gains from AI investments can be realized...Organizations that implement all aspects of AI/ML model governance can achiev | | 出版日期 | Book 2024 | | 关键词 | Machine Learning Governance; MLOps; Machine Learning Operations; Data Science Function and Management; D | | 版次 | 1 | | doi | https://doi.org/10.1007/978-3-031-31805-4 | | isbn_softcover | 978-3-031-31804-7 | | isbn_ebook | 978-3-031-31805-4 | | copyright | The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl |
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发表于 2025-3-21 16:29:00
