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> Machine learning focuses on prediction, based on known properties learned from the training data.
- In addition to retail, in finance banks analyze their past data to build models to use in credit ap…
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[TF Lite Micro (link - supported platforms)](https://www.tensorflow.org/lite/microcontrollers#supported_platforms) makes local node ML inferencing possible, enabling powerful example applications like…
mbz4 updated
3 months ago
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# Description
This activity closely related to #13 and may be considered together depending on the number of participants. Current QML algorithms may take significant time to run and they definitel…
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# Goal
As a machine learning developer, I want to embed automated methods for machine learning, so that I can run systematic processes on raw data and select relevant models for processing data.
As a…
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**Course website**: https://eda.rg.cispa.io/edu/tada24/
**username**: tada
**password**: TAda!
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This lecturer also provided a fun presentation of `how to survive a PhD` in https://eda.rg.c…
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**Abstract**
This talk covers ensemble learning, a paradigm of machine learning. Ensemble learning consists of combining multiple learning models for predictions, and is a popular method for predic…
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>Parameterizing the approximate posterior of a generative model with neural networks has become a common theme in recent machine learning research. While providing appealing flexibility, this approach…
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The Moleculenet publication has accomplished much in terms of having standardized problems for supervised learning over chemical structures. However over the past couple of years we have seen some ba…
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## 🚀 Feature
See title
### Motivation
Since we will only guarantee fault-tolerance restart for the same number of GPUs and workers (among others), we might want to save metadata about those f…