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Lern- und Qualifikationsziele
Understanding of Concepts and hands-on experience with simple problems. For master students and advanced Bsc students with computing experience.
Voraussetzungen
python
Gliederung / Themen / Inhalte
Gliederung:
Basic Concepts
Statistics for ML
Boosted Decision Trees
Neural Networks
Autoencoders
Learning Algorithms
Interpretability of NN
Advanced Concepts:
Adversarial learning, unsupervised learning, generative models
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