Calculus, Machine Learning, Math
Understanding the Directional Derivative and the Gradient
1 Introduction Understanding how functions change in different directions is crucial in many fields. For example in the context of neural networks where gradients are used to update weights during the training process. In this article, we will explore the concepts of the directional derivative and the gradient, and we will demonstrate their relationship through
Misc
Krankmeldungs-App (doctorsnote)
Ich habe diese einfache Android-App entwickelt, um Eltern am Morgen Zeit zu sparen. Mit nur einem Klick erledigst du die Krankmeldung und die Essensabbestellung, ohne jedes Mal mühsam nach alten E-Mail-Vorlagen suchen zu müssen.
Website
How to get a website containig pyscript running on a hosted domain
With the advent of py-script it is now really easy to make a pretty webapp using python. If you already pay for a hosted domain you may want your python-powered app right there. tl;dr You may run into the problem that your python file seems unaccessible. It might look like this: (PY0500): Fetching from URL
Math, Probability and Statistics
Maximum Likelihood Estimation
The method of maximum likelihood estimation allows to estimate point parameters for a given distribution underlying some observed data. Let’s look at an example to understand what this means:Imagine you measure the height of 20 women within an age-range between 20-40 years. You denote the measurements as \(X_1=x_1, X_2=x_2,…,X_{20}=x_{20}\), where the capital \(X_i\) refers to