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.
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.
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.
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.
An Introduction to Unsupervised Learning
Unsupervised Learning represents one of the four topics of Machine Learning. This post aims to provide an introduction to the topic.
An Introduction to Supervised Learning
Supervised Learning represents one of the four topics of Machine Learning. This post is intended to provide an introduction to the topic.
Artificial Neural Networks - A Milestone in Machine Learning
Neural networks are a hotly debated topic. But what are they and how exactly do they work? Some of these questions are answered here.
Machine Learning - Sounds interesting, but whats the matter?
Machine Learning is taking an increasingly important part in our lives. This post will explain why is likely a relevant concept in the future.