Cluster Monitoring using a ST7789 Display
In the articles Kuberentes at an OrangePi and Setting up the OrangePi it was described how I build my toy cluster. Meanwhile the cluster received some updates. Two more nodes …
Fast Kernel Density Estimation using the Fast Fourier Transform
1. Setup This Post is about how to speed up the computation kernel density estimators using the FFT (Fast Fourier Transform). Let be be a random sample drawn from an …
Non-Linear Classification Methods in Spark
In a previous post I covered how to apply classical linear estimators like support vector machines or logistic regression to a non-linear dataset using the kernel method. This article can …
Kubernetes at an OrangePi
1. Install k3s at the OrangePI In a previous article I explained how to get spark running at an OrangePi to create a toy computing-cluster. If you look at this …
An AI with less than 200 lines of code
In the last two articles we covered the topics “How to teach a computer gamerules” and “The Multiarmed Bandit Problem”. Indeed these two articles where intended to be an introduction …
Teaching a Computer Gamerules
Sequential games with perfect information 1. A very short course in Game Theory In the twenties people start to describe games using math. Since then Game Theory becomes an important …
Solving the Multiarmed Bandit problem with JavaScript
1. Formulation of the Multiarmed Bandit Problem Consider the following problem: A gambler enters a casino with slot machines. The probability to receive a reward for each slot machine follows …
An introduction to the Registration Problem
To explain the registration problem i will start with an example. In Figure 1 the pinch force dataset is shown, to collect the data a group of 20 subjects were …
Non-Linear Support Vector Machines (SVM)
1. Introduction This blog post is about Support Vector Machines (SVM), but not only about SVMs. SVMs belong to the class of classification algorithms and are used to separate one …
Kernel Regression using Pyspark
1. Kernel Regression using Pyspark In a previous article I presented an implementation of a kernel denisty estimation using pyspark. It is thus not difficult to modify the algorithm to …