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IntroML workshop: July 2023

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Date
July 14, 2023 9:00 AM (GMT+1)
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May 31, 2024 1:55 PM
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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 Faculty of Medicine of the University of Tübingen

When? July 14th, 2023, from 9:00 to 17:00 (with pauses)

Where? Gesundheitszentrum Tübingen, Hoppe-Seyler-Straße 6, 72076 Tübingen, Tagungsraum 2

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

Slides of previous Intro to ML workshop
Slides of previous Intro to ML workshop
image

Content

📎
Interested in what will you learn?

See the workshop content at IntroML July 2023 workshop materials OR

▶️ Check the presentation of our previous Intro to ML.

Intro_to_ML_July_2023.pdf12148.6KB

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.
🧪
You can bring your own use-case of ML in medicine for discussion in the group!

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 Faculty of Medicine are warmly invited to join; no math or programming skills will be assumed.
  • Enroll in the event
  • Bring your own laptop, and please check your eduroam config before coming!
  • Optional: In connection to one of your research problems, 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. Be ready to discuss your use-case with the group in two slides (one can describe your problem, and another one your data); we will provide suggestions to help you make a practical machine learning project out of it.

Logistics

How to get to Gesundheitzentrum Tübingen

Directly opposite Tübingen's main train station is the bus station. From there, you can reach the Gesundheitzentrum by various bus lines. The bus lines in the direction of the clinic usually leave every 10 minutes from bus platform F:

Bus Lines:
5, 13, 17, 18, 19
X15 (Clinic express)
14 (from Westbahnhof)
Bus Stop:
Uni-Kliniken Berg

From the bus-stop, walk up the Hoppe-Seyler-Straße and continue straight until you find the building on your right. You can visually use the yellos path as a guide:

Location map:
Bus stop: Uni-Kliniken Berg
Bus stop: Uni-Kliniken Berg
Entrance of Gesundheitszentrum Tübingen
Entrance of Gesundheitszentrum Tübingen

Where to eat nearby?

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

  • Kasino: Food court. You can check their menu in advance!
  • Cafe in the Crona Clinic: with a terrase and nice sitting options.

Questions?

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

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