Please note that this is not a beginner's course. Please answer the questions in the registration link to help the trainer assess your level better. If your level is different than the one required in this course, please look at our website (under Software and Programming Skills) for other courses, or email us directly. Please also note this workshop is intended for postdocs, and preference will be given to postdocs while registering. Outline:
Discover the future of technology. Master the fundamentals of machine learning using Python.
• Introduction to the general concepts of machine learning and data preparation
• Advanced Python syntax critical for machine learning
• Virtual environments and version control using Git & Github
• Supervised learning with Scikit-Learn
• Neural networks and deep learning with PyTorch
• Outlook on unsupervised and reinforcement learning algorithms
This workshop requires good knowledge of Python, as covered in the two
workshops "Fundamentals of Python" and "Python for Data Analysis and
Visualization”.
Trainer: Alexander Britz
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