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README: Add links to conference presentations
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README.md

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@@ -103,6 +103,26 @@ Information is also available in the official documentation:
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[MicroPython: .mpy files](https://docs.micropython.org/en/latest/reference/mpyfiles.html#versioning-and-compatibility-of-mpy-files)
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## More learning resources
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emlearn-micropython and emlearn has been covered in the following presentations.
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- Microcontrollers + Machine Learning in 1-2-3 (PyData Global 2024).
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[Slides etc](https://github.com/jonnor/embeddedml/tree/master/presentations/PyDataGlobal2024)
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- Sensor data processing on microcontrollers with MicroPython and emlearn (PyConZA 2024).
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[Slides etc](https://github.com/jonnor/embeddedml/tree/master/presentations/PyConZA2024)
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- 6 years of open source TinyML with emlearn - a scikit-learn for microcontrollers (TinyML EMEA 2024)
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[YouTube video](https://www.youtube.com/watch?v=oG7PjPMA3Is) |
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[Slides etc](https://github.com/jonnor/embeddedml/tree/master/presentations/TinymlEMEA2024)
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- emlearn - Machine Learning for Tiny Embedded Systems (Embedded Online Conference 2024).
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[Youtube video](https://www.youtube.com/watch?v=qamVWmcBdmI) |
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[Slides etc](https://github.com/jonnor/embeddedml/tree/master/presentations/EmbeddedOnlineConference2024)
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- Machine Learning on microcontrollers using MicroPython and emlearn (PyCon DE & PyData Berlin 2024).
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[Slides etc](https://github.com/jonnor/embeddedml/tree/master/presentations/PyDataBerlin2024) |
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[YouTube video](https://www.youtube.com/watch?v=_MGm8sctqjg&t=1311s&pp=ygUSZW1sZWFybiBtaWNyb3B5dGhv).
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Here is an overview of resources for [TinyML in general](https://tinyml.seas.harvard.edu/courses/).
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## Benchmarks
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#### UCI handwriting digits

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