## 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 …

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# Author: Heiko Wagner

## Cluster Monitoring using a ST7789 Display

## Fast Kernel Density Estimation using the Fast Fourier Transform

## Non-Linear Classification Methods in Spark

## Kubernetes at an OrangePi

## An AI with less than 200 lines of code

## Teaching a Computer Gamerules

## Solving the Multiarmed Bandit problem with JavaScript

## An introduction to the Registration Problem

## Non-Linear Support Vector Machines (SVM)

## Kernel Regression using Pyspark

A science blog about my spare time data analysis projects.

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …

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 …