May 2025
Beginner to intermediate
410 pages
4h 14m
Chinese
Overview
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无论您是初创公司的一员还是跨国企业的高管，这本实用指南都将向数据科学家、软件工程师、站点可靠性工程师、产品经理及企业主展示如何在组织内可靠、高效且可追溯地运行和建立机器学习（ML）系统。您将深入了解从生产环境中的模型监控到在产品组织中管理一个高效的模型开发团队的方方面面。
通过将 SRE 思维模式应用于机器学习，作者和工程专业人员 Cathy Chen、Kranti Parisa、Niall Richard Murphy、D. Sculley、Todd Underwood 以及特邀作者将向您展示如何运行高效、可靠的机器学习系统。无论您是想增加收入、优化决策、解决问题，还是了解并影响客户行为，您都将学习如何在牢记大局的同时执行日常机器学习任务。
您将探讨：- 什么是机器学习：其工作原理及依赖关系
- 理解机器学习"循环"如何工作的概念框架
- 如何通过有效的生产化使机器学习系统易于监控、部署和运行
- 为什么机器学习系统会使生产环境的故障排查更加困难，以及如何相应地进行补偿
- 机器学习、产品和生产团队如何有效沟通
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