Nanocourse: Machine Learning

In this nanocourse, you will learn theoretical and practical aspects of machine learning and how to apply it for your research.

Please register for this course by emailing gindrat@molgen.mpg.de.

Basic/intermediate mathematical/statistical knowledge and programming skills with Phyton are recommended to get the most out of the course.

Program

Tuesday, 16.01.2024, “Introduction and basic concepts”

09.00 – 10.30: Lecture: The basics of machine learning

10.30 – 11.00: Coffee break

11.00 – 12.30: Lecture: Explainability and feature importance analysis

12.30 – 13.30: Lunch break

13.30 – 16.00: Practical course*: Build your own machine learning model in Tensor flow

Wednesday, 17.01.2024, “Specific machine learning models”

09.00 – 10.30: Lecture: Introduction to convolutional neural networks (CNNs)

10.30 – 11.00: Coffee break

11.00 – 12.30: Lecture: Introduction to attention and transformer models

12.30 – 13.30: Lunch break

13.30 – 16.00: Practical course*: Design and analysis of convolutional neural networks

*For practical reasons the course is limited to 20 participants.

Before signing up for this nanocourse, please make sure that you can attend all the dates and write them in your calendar. If you do not show up or cancel at very short notice, other interested students will not be able to participate.