Applied Machine Learning (3/10 weeks)
Tree ensembles, introduction to neural networks, dimension reduction and clustering
Applied Deep Learning (5/10 weeks)
Image generation, transformers and large language model pre-training, reinforcement learning (value-based methods and policy gradients), post-training and reasoning models
Computational Text Analysis and Large Language Models (4/10 weeks)
Mathematics and statistics review, introduction to neural networks, fundamentals of text embeddings, large language models
Computational Methods for PhD Students
I occasionally teach a week-long course (or shorter workshops on individual topics) for PhD Economics students as guest teacher at other departments. Analogously to common pre-sessional courses in mathematics and statistics, the course covers broad fundamentals in computational methods and AI for research.Â
To obtain a more detailed outline, please get in touch.