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 writings on deep learning from my time at Lab41 can be found at Gab41 and rehosted on this page. 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 my most recent articles and projects; older ones can be found here:
A common interview type for data scientists and machine learning engineers is the ML case study. Read on for an example of how I solve them!
I often get asked how to practice data science interviews, so here is a practice dataset with a set of questions to answer. Good luck!
California traffic collision data has been hard to get, that's why I am now curating and hosting it! Come take a look!
The Tour de France is a race decided by mere minutes; to see exactly how those minutes were earned, read on for my plots!
In the middle of the COVID-19 pandemic, I found myself looking for a data science job for the third time in my life. This post covers what I learned.