An introduction to A/B-testing as a method for data-driven product decisions, covering its basic principles and connection to incremental improvement.
Introducing Guess.js, a toolkit for data-driven user experiences on the web, including predictive pre-fetching and smarter JavaScript bundling.
A collection of insightful quotes and laws from engineering and computing, focusing on data-driven decisions, measurement, and avoiding premature optimization.
Explores how fostering a culture of experimentation and tolerance for failure enables data science teams to innovate successfully.
The article argues for using analytics and data-driven methods, inspired by hardware testing, to automatically find common software bugs.
