Regression using neural networks
There are a number of ways to solve a regression task. In this article we will describe how such a regression task can be solved using a neural network.
Classification using neural networks
There are several classical algorithms to perform a classification. Here I describe an implementation using neural networks and my experiences with it.
Q-Learning: The Basics of Reinforcement Learning
Q-Learning was one of the first practical reinforcement learning algorithms. This post introduces this algorithm.
Temporary and persistent state management with Alpine.js
In this article, you'll learn how to use Alpine.js to manage both temporary and persistent states, and how to use it to optimize your user experience.
Random Forests - An upgrade for Decision Trees
Decision trees alone are often not sufficient to perform a meaningful classification. Random forests represent an improvement of the decision trees. I am going to present this method in the following post.
Classification via k-nearest-neighbor classifier
Classification can be done in many different ways and with many different algorithms. Today I will introduce the K-Nearest-Neighbour classifier.
Decision Trees - Graphical Explainable AI
Often machine learning models are complex and difficult to understand. This article describes a method that visualizes clear structures and decision criteria: Decision Trees.
Logistic Regression - Prediction of Event Occurrences
Event occurrence probabilities are often a complex problem to model. In this article, a basic method for this is presented: Logistic Regression.
Working with Artificial Intelligence: Risks & Side Effects
Artificial intelligence is a capable technology with great advantages. However, it is also associated with risks and side effects. In this article you will learn what you need to be aware of when working with artificial intelligence.
Introduction to Reinforcement Learning
This post is intended to introduce the reader to the basic topic of reinforcement learning. The introduction clarifies important terms and basic concepts that are used in Reinforcement Learning.
Generative texts: Working with Artificial Intelligence
How can you use artificial intelligence to generate creative and valuable texts? In this post, you'll learn more about the opportunities and challenges of generative texts.
An Introduction to Semi Supervised Learning
Semi supervised learning represents one of the four topics of machine learning. This post is intended to give an introduction to the topic.