äN: Evaluating and developing machine learning models: äN introduction
https://media.ccc.de/v/gpn24-673-eval...
An introduction to evaluating machine learning models, with an encouragement to develope and research them. Why and how to start (even without a powerful GPU), where to orient, what challenges exist and how to overcome or avoid them.
While this presentation will cover material for beginners, especially the open questions and dialog at the end will be interesting for seasoned researchers as well.
This presentation will cover the following topics:
Motivation to start evaluating (and developing) machine learning models
Open research questions
Current research limitations
How to start your first project
Project approaches
Challenges
Common mistakes
Tips when using python and pytorch
Resources for information and code
äN
https://cfp.gulas.ch/gpn24/talk/WMNWXJ/
#gpn24 #Science
Licensed to the public under https://creativecommons.org/licenses/...
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