DateSep 18, 2019
Categories
How to write a git commit message
The seven rules of a great Git commit message by Chris Beam.
Introduction to PAC Learning
What is “learning” and do we have a formal model for it? I’ve decided to dive into the theoretical underpinnings of machine-learning, so here’s a quick introduction to...
How to hangle signals in python?
Signals allows us to send messages to running processes. For instance, you probably already know SIGINT (ctrl+c) to stop a process. Here's how to catch and handle signals in python.
Faster workflow with bash completion scripts
You can create auto-completion rules to use with your scripts and customize bash completion to boost your productivity.
Underfitting and overfitting illustrated
In this article, we define underfitting and overfitting and show some nice ways to vizualize them on polynomial regressions.
A probability distribution to quantify measurement errors
In this article we will derive the normal distribution as the probability distribution that models measurement errors. We start with a dart game and follow Herschel’s derivation.
Why bayesian inference is more powerful than logic
In a previous article I showed that the inference rules of propositional logic can be obtained from probability calculus. But actually, we can obtain much more, and even...
Propositional logic derived as a special case of probability calculus
In this article, I will apply the rules of probability calculus to derive the rules of propositional logic (also called propositional calculus).
Key ideas in probability and statistics illustrated on a simple problem
The aim of this article is to illustrate what are probability theory and statistical inference in simple terms using a simple to understand problem: drawing colored balls from an urn.
Extending logic to deal with uncertainty
This article sketches a construction of probability calculus as an extension of classical logic to account for uncertainty so that by construction, it can be used to automate...