Machine Learning – A Key Technology for Tomorrow’s Production
Whether autonomous driving, developing new materials or analyzing and optimizing production processes (Industry 4.0) - the future cannot be imagined without artificial intelligence. Machine learning processes are among the key technologies in this field and they are becoming increasingly important for the intelligent analysis of ever-larger and more complex networked data sets. It’s about methods that generate knowledge from data. The systems are first of all “trained”, which enables them to learn from experience and improve themselves constantly.
Machine learning is a multifaceted, complex research field, in which the development and user communities merge seamlessly. The various learning methods can provide a preliminary sorting of the field, making it possible to distinguish between supervised learning, semi-supervised learning, unsupervised learning, reinforcement learning and active learning. Depending on the method of learning, different algorithms are employed.