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# Online active learning in 80 lines of Python • Max Halford
Active learning is a way to get humans to label data efficiently. A good active learning strategy minimizes the number of necessary labels…
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Ideally we would be able to easily host active learners in a more abstract and intuitive process.
MVP
```
from argilla_plugins.active_learning import classy_classification_learner
classy_class…
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Integrating OnlineStats (its online learning algorithms) and giving it an easy to use hyperparameter tuning context makes Julia even more useful for quick ML on real big data.
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Next step for LGD course (see #22 ): tweak / reword learning goals and content to be more in line with 'active learning' / 'problem solving strategies'... see low default portfolio course for example…
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record number: 518
Description of issue: User feels that it would be be useful to include an activity or diagram to reinforce the information presented about data management solutions (such as vers…
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**Key results**
* [x] Support 1 active deployment in production.
- [ ] Enhance the reference application with learnings from the Nepal implementation.
- [ ] Advocacy:
- - [ ] Document learnings/enhan…
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As explained in FY24 Q2 QU
> Implementation of machine learning for active asteroids project (https://www.zooniverse.org/projects/orionnau/active-asteroids) . The Zooniverse has backend tools designe…
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Author Name: **Anchi Cheng** (@anchi2c)
Original Redmine Issue: 14509, https://emg.nysbc.org/redmine/issues/14509
Original Date: 2023-03-20
Original Assignee: Anchi Cheng
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These tools give …
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**Issue Description:**
This task is focused on exploring the acquisition functions available in the DeepSensor package as part of our ongoing efforts to strategically place temperature sensors in the…