Machine learning is the central problem-solving method that allows us to take advantage of the massive amounts of data generated in our world today and the availability of this data drives machine learning to new levels. Machine learning is behind applications such as fraud detection, predictive maintenance, personalization of offers, voice and image recognition, autonomous driving, chatbots, face recognition, anomaly detection, and many more.
In our courses, we offer elementary introductions to the methodology, compact presentations “Machine Learning on the High Trail”, in-depth studies on individual topics such as deep Learning or anomaly detection, as well as tutorials with concrete machine learning tasks, using the Jupyter Notebook and introducing the participants to practical applications. We cover a broad spectrum: classification, regression, clustering, supervised learning, unsupervised learning, algorithms such as decision trees, decision forests, neural networks, and convolutional neural networks. We can adapt our tutorials to the environment of the customer.
These courses were developed with experts from Fraunhofer, Prof. van der Smagt (Datalab Munich), ZEISS, and more.