As part of my ongoing attempt to formalize, characterize and apprehend the decisions that rule our lives, I had to consider different approaches to tease out a framework in which decisions could be scrutinized. My goal is to explain why decisions that we experience and witness constantly are so impractical…

This is really cool, thanks for the great writeup! If believe there's still so much room to better analyse and leverage offline experimentation, thoroughly and diligently. Your work reminded me of a paper we published at RecSys '19, if you're fancy: https://dl.acm.org/doi/10.1145/3298689.3347032

Nowadays, it has become relatively standard to state or hear that data scientists spend, or should spend, about 80% of their time on anything but data science. Rather than building models, doing some feature engineering work, or evaluating the performances of their output, some organizations will expect them to work…

… to complement the excellent and widely praised “Thinking, Fast & Slow” from Daniel Kahneman. As I’m currently writing on the complexity of decisions we encounter in our lives, I realized that there are so many books on decision-making available today that I thought it would be great to pay…

Automata theory is such a great science. No matter how abstract it can be, you can find it everywhere. From simplest recognizable langage to the most complex problems, you might want to use automaton. Today, I would like to discuss about these automata in regular expressions. For a long time…

Today I’ve fine tuned my Emacs setup which hasn’t evolved for a while. Digging into emacs24 packages, testing rainbow-delimiters, customizing company-mode, etc. As a Clojure beginner, I’m discovering joy of programming lisp-languages within my favorite $EDITORas well. Then I’ve played with CIDER, a Clojure IDE and REPL for Emacs. As…