Reliable Machine Learning： Applying SRE Principles to ML in Production（Cathy Chen， Niall Richard Murphy， Kranti Parisa， D. Sculley， Todd Underwood）（O

  • 书名：Reliable Machine Learning: Applying SRE Principles to ML in Production
  • 出版社：O’Reilly Media
  • 作者：Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, Todd Underwood
  • 出版年份：2022
  • 电子书格式： pdf
  • 简介：Dive into the essential practices for building reliable machine learning systems. This book, written by leading experts Cathy Chen, Niall Richard Murphy, Kranti Parisa, D. Sculley, and Todd Underwood, bridges the gap between machine learning and site reliability engineering (SRE). Learn how to apply SRE principles to address challenges in ML production, including monitoring, alerting, and automation. Gain practical strategies for ensuring the reliability, scalability, and maintainability of your ML models. This O’Reilly guide is a must-read for data scientists, ML engineers, and SRE professionals aiming to deploy and maintain robust ML systems.
  • ISBN：9781098106225, 10981
  • 下载地址（点击下载）：
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