The one-week Machine Learning Summer School for Biologists offers a foundational introduction to machine learning principles tailored for participants with basic statistical and R programming knowledge. Through a condensed curriculum, attendees explore key concepts such as supervised and unsupervised learning, classification, and regression, with a focus on applications in biology. Hands-on workshops provide practical experience in data preprocessing, model training, and evaluation, equipping biologists with essential skills to analyze biological datasets effectively. By the end of the program, participants will be empowered to apply machine learning techniques to their research projects, facilitating data-driven insights and advancements in various biological disciplines.
For CUSO PhD students, the following costs are taken care of (othe people wishing to attend are welcome too but need to cover these costs on their own, to be paid within the first two days of the summer school):
- lodging
- lunch on course days
- beverages througout the day
We look forward to your registration by May 31:
https://forms.gle/GmSUaZ9fxkeKRx9n9
