Decision Trees are one of the most easily understandable and straightforward tools in the field of Machine Learning. However, Big Data has made them more complex in recent times. Can pruning help make Decision Trees accessible once again?
Text simplification is the key to written language accessibility. Discover what it entails, who benefits, and its link to readability assessment. Get an overview of ML approaches for automated text simplification.
Explainable AI is primarily aimed at experts. An expert group of the CTAI has determined: Explainable AI – in combination with other measures – can also be helpful for the information of consumers and citizens.
Human-centered machine learning merges human and computer intelligence with visual analytics (VA). This enhances collaboration between experts and machines and promises a deeper understanding and a more effective use of ML models.
Reinforcement Learning is a data-driven approach to learn intelligent behaviors through trial and error interaction with the environment. Related to robotics, it offers new chances for learning robot control under uncertainties for challenging robotic tasks.