Machine Learning and Deep Learning Development

Wertvolle Einblicke in das maschinelle Lernen (Machine Learning) und in das tiefe Lernen (Deep Learning) als Teilbereiche der Künstlichen Intelligenz (KI). Mit Ansätzen und Methoden zur intelligenten Sprach-, Text- und Bilderkennung.

• Supervised, unsupervised, and reinforcement learning approaches
• Regression and classification learning problems
• Estimation of functional dependencies via regression techniques
• Data clustering
• Support vector machines, large margin classification
• Decision tree learning

• Introduction to neural networks and deep learning
• Network architectures
• Neural network training
• Alternative training methods
• Further network architectures

• Introduction to reinforcement learning
• Markov chains
• Bandit
• Q-Learning
• Reinforcement learning approaches

• In this module, students will reflect on current developments in AI. To this end, pertinent topics will be introduced via articles that are then critically evaluated by the students in the form of a written essay.