Machine Learning Systems pdf epub mobi txt 电子书 下载 2025
Jeff Smith builds large-scale machine learning systems using Scala and Spark. For the past decade, he has been working on data science applications at various startups in New York, San Francisco, and Hong Kong. He blogs and speaks about various aspect of building real world machine learning systems.
- 机器学习
- 计算机
- system
- Programming
- spark
- ML
Machine learning applications autonomously reason about data at massive scale. It’s important that they remain responsive in the face of failure and changes in load. And the best way to to keep applications responsive, resilient, and elastic is to incorporate reactive design. But machine learning systems are different than other applications when it comes to testing, building, deploying, and monitoring. They also have unique challenges when you need to change the semantics or architecture of the system. To make machine learning systems reactive, you need to understand both reactive design patterns and modern data architecture patterns.
具体描述
读后感
评分
评分
评分
评分
用户评价
写 ps 参考用 跟博客差不多
评分太水了
评分写 ps 参考用 跟博客差不多
评分太水了
评分写 ps 参考用 跟博客差不多
相关图书
本站所有内容均为互联网搜索引擎提供的公开搜索信息，本站不存储任何数据与内容，任何内容与数据均与本站无关，如有需要请联系相关搜索引擎包括但不限于百度，google,bing,sogou 等
© 2025 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有