Eugene Yan • 6/21/2020

Mailbag: Qns on the Intersection of Data Science and Business

This article addresses practical questions on integrating data science into business operations. It discusses the need for business requirement sign-offs, the trade-off between interpretable and 'black box' models, the limited use of web scraping, and when to separate data engineering from data modeling roles. The author provides insights based on real-world experience, emphasizing cost-effectiveness and business alignment.

0 comments

#Machine Learning #web scraping #Data Engineering