IntroML workshop: November 2023

The registration for this event is closed.

We invite you to our next Intro to Machine Learning!

What? An in-person, hands-on, free workshop introducing machine learning

For whom? PhD students, postdocs, and PIs affiliated with the University of Tübingen

When? November 29, 2023, from 9:00 to 17:00 (with pauses)

Where? Max Plank Institute for Intelligent Systems, Max-Plank-Ring 4, 72076 Tübingen

Instructors Seth Axen , Hanqi Zhou, Vladimir Starostin @ML ⇌ Science Colaboratory, Cluster of Excellence ML for Science.

Content

Table of contents

In the tutorial part, we will discuss with the aid of interactive demonstrations topics such as

• Foundational ML notions: features, training, evaluation, generalization, …
• ML paradigms: supervised and unsupervised learning, classification, regression, …
• Neural networks: gradient-based training, feature extraction, architectures, transfer learning, …
• Data types: text, time series, relational data, images, ...
• The ML workflow in practice, from data collection to performance evaluation,
• Limitations of ML for science.

There will be also a workshop part, where we will have time to jointly look at specific use-cases brought by you and discuss how to design ML projects to address them.

Prerequisites

• All scholars from the University of Tübingen are warmly invited to join; no math or programming skills will be assumed.
• Enroll in the event
• Bring your own laptop. MPI-IS provides accessible WIFI.
• Optional: In case you would like to get suggestions regarding your own projects and discuss your use-case with the group, you can prepare two slides (one can describe your problem and another one your data). Think about the characteristics of relevant datasets that you have access to (how many records, what fields? ...) and what you’d like ML to help with. We will provide suggestions to help you make a practical machine learning project out of it. Note that due to the limited time, we cannot discuss all the projects.

Logistics

Bus Lines:
2, 3, 4, 32

Bus Stops:
Max-Planck-Institute
Corrensstraße
Auf dem Kreuz

Where to eat nearby?

We’ll have a 1h lunch pause around noon. There are a couple of places with vegetarian options:

• Yellow Donkey - Greek Cantine
• Foodtrucks - for this option, please bring cash and your own bowls

Questions?

Write to us at mlcolab@inf.uni-tuebingen.de.