Alexander Hinterding

Praktikant im Bereich ETF Market Making Institutional.

Mitarbeiter am Institut für Reine Mathematik.

Tutor am Institut für Zahlentheorie.

Course Overview: Foundations of Convolutional Neural Networks, Deep convolutional models: case studies, Object detection

Course Overview: Practical Aspects of Deep Learning, Optimization Algorithms, Hyperparameter Tuning, Batch Normalization and Programming Frameworks

Course Overview: Introduction to deep learning, Neural Networks Basics, Shallow neural networks, Deep Neural Networks

Course Overview: Logistic Regression, Regularization, Neural Networks: Representation, Machine Learning System Design, Support Vector Machines, Unsupervised Learning, Dimensionality Reduction, Anomaly Detection, Recommender Systems, Large Scale Machine Learning

Finanz- und Versicherungsmathematik

Algebra/Zahlentheorie