I’m Alex Gude, a data scientist with a passion for plots and algorithms, but also cycling and photography. I got my start in the valley at Insight Data Science. In my previous life, I was a high energy particle physicist at CERN and a cosmologist at Lawrence Berkeley Labs.
I write about whatever catches my attention here on this site; mostly that means data science, machine learning, deep learning, and software development related topics. My old work blog (with mostly deep learning stuff) can be found at Gab41. If you’re interested in my thoughts in real time, follow me on Twitter: @alex_gude
The code that I write lives on my Github page. Check it out! Bug reports and pull requests welcome!
Below you can find the most recent posts; older posts can be found on my blog:
| Updated Caltrain Visual Schedule |
In July, Caltrain updated their weekend schedule to allow time to do track work, so I updated my Marey/Ibry/Serjev visual schedules to see how it changed!
| Tech Interviews: Respect Everyone's Time |
Interviewing is notoriously agonizing for both the candidate and the company! But it could be much better! Here I propose one guiding principle to make it easier on everyone.
| Fate Dice Intervals |
What does a "normal" distribution of rolls from a fair set of Fate dice look like? There are a lot of ways to estimate it. In this post I'll go through four methods.
| Fate Dice Statistics |
My friends and I played a Fate RPG for over two years. During that time we rolled a lot of dice and developed a lot of superstitions, but were any of them correct?
| Caltrain Visual Schedule |
In 1878, Marey published a famous visual train schedule based on work by Ibry. What would it look like for Silicon Valley's Caltrain? Come find out!