算法工程师-机器学习-数据科学家面试准备4-ML系统设计

https://github.com/LongxingTan/Machine-learning-interview

• 算法工程师-机器学习-数据科学家面试准备1- 概述 外企和国外公司、春招、秋招
• 算法工程师-机器学习-数据科学家面试准备2- Leetcode 300
• 算法工程师-机器学习-数据科学家面试准备3-系统设计
• 算法工程师-机器学习-数据科学家面试准备4-ML系统设计

每一个专题阅读资料

• https://github.com/LongxingTan/Machine-learning-interview
• https://www.youtube.com/playlist?list=PLlvnxKilk3aKx0oFua-HTtFf-d_inQ8Qn
• https://github.com/ByteByteGoHq/ml-bytebytego
• 小红书资料

数据仓库

• used for the analysis and reporting of structured and semi-structured data from multiple data sources, such as point-of-sale transactions, marketing automation, customer relationship management, and more.
• include an analytical database and critical analytical components and procedures
• support ad hoc analysis and custom reporting, such as data pipelines, queries, and business applications

bagging

• Bootstrap aggregating
• reduces variance and helps to avoid overfitting

boosting