HGS-HIRe PEP 22-1: Machine Learning Workshop

Date

November 14-16, 2022

Topic

Machine Learning Workshop

Lecturers / Tutors

Hannah Bossi (Yale University)

Organizer

Mario Krüger, Matthias Kleiner, Joshua König (GU Frankfurt)

Coordinator

Henner Büsching (HGS-HIRe)

Course Information

Course Contents/Program

In this HGS-HIRe Participant Education Project we will focus on Machine Learning (ML) which is widely used in data science. In addition to the basics of ML, real-world use cases and hands-on sessions are foreseen. An introduction to ML tools such as scikit-learn, Keras, TensorFlow, and ONNX will be provided to offer participants insight into relevant ML tools. The exercises will be based on Python.

The HGS-HIRe PEP is targeted at an audience of doctoral students interested in the topic and advanced undergraduate students. The focus of the PEP is strongly on educational aspects to enhance the research toolbox of the participants rather than on a scientific discussion about the results and outcomes of the analyses.

Agenda

This three-day workshop will consist of a mixture of lectures and hands-on sessions (see description above).

Monday (Nov 14)
14:00-18:00Workshop
 
Tuesday (Nov 15)
10:00-17:30Workshop
 
Wednesday (Nov 16)
10:00-17:30Workshop
17:30HGS-Hire Perspectives

Participants of the HGS-HIRe Participant Education Project are especially encouraged to participate in the HGS-HIRe Perspectives event on the last afternoon of the workshop.

Practical Information

Registration

Registration is done via email to one of the organizers mkrueger[at]ikf.uni-frankfurt.de.

Begin/End

The program of the PEP starts with a welcome and introduction session on Monday, 14:00. Please arrive well in time. The PEP will close on Wednesday late afternoon.

Late arrivals

If you will arrive late please contact the organizers in advance.

Venue

The PEP will be held at FIAS, Ruth-Moufang-Str.1, 60438 Frankfurt, Room 0.200

Travel

Please arrange for individual travel to the location. If you arrive by public transport: The closest U-Bahn (subway) station is "Uni Campus Riedberg". You can find a more detailed description to get to the venue >here.

Accomodation

If accomodation in Frankfurt is needed, we can help to organize accomodation on an individual basis. Please let the organizer and coordinator know in advance.

Food

Refreshments, i.e. mineral water / soft drinks and snacks, will be provided during the workshop. Meals, e.g. lunch, are not included in the pep. The university cafeteria is in walking distance to the venue and will function as the workshop's lunch spot.

What to bring

Clothing: The PEP will be very informal, so only casual attire is necessary.

Software/Laptop: Please bring your own laptop. Preferably please already try to install the following software that will be used in the hands-on sessions:

  • python 3 with modules numpy, tensorflow, sklearn, matplotlib, uproot, awkward, jupyter-notebook and pytorch.
  • ROOT

Internet

Wireless internet access is available.

Expenses

All basic expenses are covered by HGS-HIRe. There is no registration fee. Participants at the PEP have to pay for their meals and accomodation by themselves.

Insurance

Please do not forget to file a trip request if necessary so you are covered by insurance during the PEP.

Participants

For privacy reasons we cannot display the list of participants right now.
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