Potsdam Graduate School: Workshop "Scientific Programming with Python: Module III"

Explore the world of AI and machine learning with our advanced module, "Machine Learning with Python: An Introduction." This workshop offers a solid foundation in AI technologies and essential machine learning techniques using Python. You’ll learn to develop algorithms that learn from data, covering supervised learning, neural networks, and deep learning, utilizing tools like Scikit-Learn and PyTorch. This module will enable you to start applying machine learning to your research challenges.

The workshop includes an introduction to machine learning concepts, advanced Python syntax, supervised learning with Scikit-Learn, deep learning with PyTorch, and an overview of unsupervised and reinforcement learning algorithms. Bring your laptop and, if possible, a dataset for future modeling exercises.

Please note that this workshop requires a strong understanding of Python, as provided in the previous modules, "Fundamentals of Python" and "Python for Data Analysis and Visualization." If you have not attended these, contact us at pogs@uni-potsdam.de to assess if your existing knowledge suffices for this advanced module.