Machine Learning: The High Interest Credit Card of Technical Debt (2014)

The article's title suggests a critical perspective on the use of machine learning, framing it as a source of accumulating technical debt. This implies potential long-term costs and complexities associated with ML projects. The 2014 date indicates the article is likely discussing the early stages of widespread ML adoption, when best practices and tooling were less mature.

• •Machine learning projects can incur significant technical debt.
• •Early ML adoption may have led to more debt due to less mature practices.
• •The article likely discusses the challenges of maintaining and scaling ML systems.