Are there some textbooks that take a primarily engineering approach to machine learning (as opposed to a "scientific" approach)? [D]

Explain Like I'm Normal

A viral discussion highlights the massive gap between academic ML theory and the 'dirty work' of building production-ready software. Practitioners are calling for engineering-first resources to navigate the bloated infrastructure and middle management that often plague the ML lifecycle. The consensus focuses on shifting from 'science' experiments to robust, integrated systems.