Data Visualization

think that linear regression is about fitting a line to data. But mathematically, that’s not what it’s doing. It's finding the closest possible vector to your goal throughout the space spanned by features. To know this,...

this yr, I published an industry report called Remediation at Scale analyzing how application security (AppSec) teams fix vulnerabilities of their code. The dataset: tens of hundreds of repositories, a full yr of...

is the brand new “hot” role within the tech scene, and lots of individuals are eager to land this job. I see so many posts online saying how you'll be able to turn out...

for marketing campaigns is amazingly hard. Much of it comes right down to trial and error, despite the fact that we all know that more targeted strategies would work higher. We just don’t...

decision matrices (MADM) are a useful methodology for comparing multiple alternatives and choosing the alternative that most closely fits your needs and budget. By evaluating a set of criteria for every option, you'll be...

After dinner in downtown San Francisco, I said goodbye to friends and pulled out my phone to work out how you can get home. It was near 11:30 pm, and Uber estimates were unusually...

Introduction undefined, I began eager about the parallels between point-anomaly detection and trend-detection. In relation to points, it’s generally intuitive, and the z-score solves most problems. What took me some time to determine was applying...

how you can actually stay consistent together with your goals for 2026? This yr, I’ve decided that I don’t just want an inventory of goals. I would like a vision board backed by real...