Introduction to Machine Learning in Plant Sciences - Module 2

2024_HS_MachLearnInPS_Mod2
25.11.2024 - 11.12.2024
3 days
  • 25.11.2024, 09:30 - 16:30: Introduction to Machine Learning in Plant Sciences - Module 2
  • 26.11.2024, 09:30 - 16:30: Introduction to Machine Learning in Plant Sciences - Module 2
  • 11.12.2024, 09:30 - 16:30: Introduction to Machine Learning in Plant Sciences - Module 2
Start registration period: 03.06.2024
End of registration period: 20.10.2024
ETH Zurich, centre
16
16
Students enrolled in PSC PhD Programs: CHF 0
LSZGS PhD students: CHF 0
All others: CHF 300
ETH Zentrum, tba
This course will introduce machine learning with emphasis on plant sciences. In Module 2, we will take first steps towards modern deep learning.The module consists of 50% lectures and 50% hands-on programming in python, where students will directly implement learned theory as a software to help solving problems in plant sciences. Module 2 also includes homework that has to submitted. On the last course day, a feedback session in the morning will allow participants to receive feedback regarding their homework, while participants will give short talks about their own PhD projects in the afternoon to get advice from machine learning experts.
Prof. Dr. Jan Dirk Wegner (ETHZ)
2
Open for PhD students. Priority will be given to PhD students of the PhD programs in Plant Sciences, Science & Policy and Ecology. Postdocs if places available.
Students should bring their laptops to the exercises because we will program on laptops directly. It is required that students enrolling in this course have successfully passed a course in basic data science and are familiar with programming (preferably in Python). Teaching assistants will help with all programming exercises.
English
Graded excercises

By registering you agree to the PSC course terms and conditions AGBs

Cancellation of a course registration should be arranged with the course coordination office psc_phdprogram@ethz.ch and is possible free of charge up to 2 weeks before the course starts.
Later cancellations and failure to attend or incomplete attendance without documented justification will incur a fee of 200 CHF.
Module 1 is a prerequisite for taking Module 2. To attend Module 1, please register separately in “Introduction to Machine Learning in Plant Sciences Module 1”.

Zurich-Basel Plant Science Center

Dr. Bojan Gujas (psc_phdprogram@ethz.ch)
BG_HS24_IntroMachLearn 2.pdf
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