Favorite Quotes

"When evaluating ML solutions through the business lens, it’s important to be realistic about the expected returns. Due to all the hype surrounding ML some companies might have the notion that ML can magically transform their businesses overnight. Magically: possible. Overnight: no. "By Designing Machine Learning Systems

"whenever someone says “do this, and you'll be agile,” they are wrong. By definition. Because agility, both in the physical world and in software development, is all about responding to change, responding to the unknowns you encounter after you set out."By The Pragmatic Programmer: your journey to mastery, 20th Anniversary Edition, 2nd Edition

"When heavily invested in a technology, a developer lives in a memetic bubble, which also serves as an echo chamber. Bubbles created by vendors are particularly dangerous, because developers never hear honest appraisals from within the bubble. But the biggest danger of Bubble Living comes when it starts collapsing, which developers never notice from the inside until it’s too late."By Fundamentals of Software Architecture

"When I shared the graph showing how many had been done and how many were left to do, people were more eager to do their part to get the numbers down. Something in our brains really likes seeing a graph finish its journey to zero"—The Staff Engineer's Path

"When ML algorithms are deployed at scale, they can discriminate against people at scale. If a human operator might only make sweeping judgments about a few individuals at a time, an ML algorithm can make sweeping judgments about millions in split seconds"By Designing Machine Learning Systems