I showed how you can use 30-60 minutes of modelling in Alloy to find the stupid mistakes you could find anyway if you stopped and thought everything through. The difference? One rarely stops and thinks because this is easy, won’t fail of course.
How PCA (Principal Component Analysis) can be modelled as the Nash equilibrium of a multi-agent game. This is the summary blog post, I’m extremely tempted to read the paper, even if my days as data scientist are far in the past.
I wrote a bit around this here. I think Databricks will eventually have an advantage, but will depend on worldwide data needs: Databricks is strong in real-time, for example. If more real-time big scale processing is needed, Databricks has an upper hand on Snowflake.
On the contrary, data we collected from 12,000 people across the U.S. and Europe during the pandemic show that the additional time is often burned on unproductive work and unsatisfying leisure activities.
No particular reason why. By the way Spanish friends, I found out black pepper in the UK tastes far better than what we have here. Black pepper we can find in supermarkets is crap. I found a good one on Amazon Spain I could recommend.
I’m not a fan of writing internal documentation (because very often it becomes obsolete faster than you can finish and is rarely used), but I’m a fan of writing to keep track of what has happened, why and the results. That’s invaluable.