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Schlagwort: Machine Learning

Expert Group Meeting – Machine Learning Clinic

The Expert Group will meet in Zurich for the first time in 2022 to discuss Challenges in applied computer vision!

Location: PwC, Birchstrasse 160, 8050 Zurich

More details are soon to follow.

Participation is limited to 14 people. Please register using the form below.

Expert Group Meeting – Machine Learning Clinic

Ask the expert

New year, new logo, new concept: the expert group “Machine Learning Clinic” is a unique pool of expert knowledge. Our next meeting aims to answer this need. Either you are an expert yourself and happy to share your knowledge or you are in need of an expert to push your project forward.

With the new open-innovation initiative www.databooster.ch and the support from Innosuisse there are many possibilities to support you during your ML-journey.

Our next event is planned to foster ideas and form teams with knowledge and experience. 

Why should you participate?

  • You are an expert, happy to share knowledge and experience, you could offer service, research partner for a potential new Innosuisse project
  • You have a good idea and need some support, a company and need ML-expertise, open for an Innosuisse project

The Expert Group Machine Learning Clinic will have their next meeting on the 22nd of March. Register with the form below. There are some additional questions on it so please make sure to check both of them, thank you!

Expert Group Meeting – Machine Learning Clinic

Registration:
To help us plan the meeting, please register via this Google form:
https://forms.gle/ALHRq47UXPBGkwui7

14:00-14:30 Check-In
14:30-14:50 Interepreting time-series data representations through structured latent spaces
Vincent Fortuin, ETH Zürich
14:50-15:10 GAN’s & the Data Problem
Andres Romero, ETH Zürich
15:10-16:10 Group Discussion
goals and the future for the Machine Learning Clinic in 2020
16:10-16:30 Unsupervised Learning for Feature Representation and Classification in Vision Tasks
Engin Türetken, CSEM
16:30-16:50 Enterprise Data Science – exchange on technical and organizational aspects
Bojan Skerlak, Migros
16:50-18:00 Networking Apero
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