Unpopular Opinion: Data Scientists Should be More End-to-End
Argues that data scientists should own the entire process from problem identification to solution deployment for greater impact and efficiency.
Argues that data scientists should own the entire process from problem identification to solution deployment for greater impact and efficiency.
Notes from Spark+AI Summit 2020 covering application-specific talks on ML frameworks, data engineering, feature stores, and data quality from companies like Airbnb and Netflix.
Answers common questions about data science in business, covering requirements, model interpretability, web scraping, and team roles.
A summary of a panel discussion on various data roles (data scientist, ML engineer, etc.), including key skills and career insights.