
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.
Classification can be done in many different ways and with many different algorithms. Today I will introduce the K-Nearest-Neighbour classifier.
Often machine learning models are complex and difficult to understand. This article describes a method that visualizes clear structures and decision criteria: Decision Trees.
Event occurrence probabilities are often a complex problem to model. In this article, a basic method for this is presented: Logistic Regression.
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.
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.
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.
Semi supervised learning represents one of the four topics of machine learning. This post is intended to give an introduction to the topic.
Microsoft and OpenAI, based on the immense success of ChatGPT, present a new way to search the Internet for information, starting a competition for Google's domination of the Internet.
Unsupervised Learning represents one of the four topics of Machine Learning. This post aims to provide an introduction to the topic.
Supervised Learning represents one of the four topics of Machine Learning. This post is intended to provide an introduction to the topic.
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 is taking an increasingly important part in our lives. This post will explain why is likely a relevant concept in the future.