Workshop by IAS-9: Introduction and Fundamentals of Machine Learning

Within the Helmholtz School for Data Science in Life, Earth, and Energy, the IAS-9 will give a workshop : Introduction and Fundamentals of Machine Learning. This course serves as an introduction to machine learning for beginners, spanning two days. The first day is dedicated to statistical machine learning methods such as linear regression and principal component analysis (PCA), taught through a mix of lectures and practical exercises. The second day introduces neural networks, starting from perceptrons and moving to fully connected networks, with each concept explained in lectures, followed by hands-on tutorials. Depending on the level and time left, convolutional neural networks (CNNs) could also be covered. The course is designed to build foundational knowledge in machine learning for those new to the field.

The workshop consists of lectures on data science, given by Prof. Stefan Sandfeld, and tutorials given by Aytekin Demirci, Tarek Iraki and Dr. Bashir Kazimi. The following topics will be covered:

• Regression (simple linear, multivariate)
• Dimesionality reduction (PCA)
• Neural networks (fully connected Neural networks)
• Implementing ML algorithms in Python from scratch