Active learning is a technique used in machine learning to get good performance by labelling less data.
This video is an explanation of the the different query strategies in the active learning algorithm, used to select the next sample to be labelled.
Here is my Medium Article on how to code active learning with an ML model- "Active Learning Tutorial — Machine Learning with Python" - https://bit.ly/medium-active-learning
Here are some additional resources for active learning:
Datacamp: https://www.datacamp.com/community/tutorials/active-learning
Wikipedia: https://en.wikipedia.org/wiki/Active_learning_(machine_learning)
Active Learning Resource PDF -
http://burrsettles.com/pub/settles.activelearning.pdf
Image References:
https://www.statisticsfromatoz.com/uploads/7/3/2/1/73216723/discrete-and-cont-distributions_orig.png
https://www.datacamp.com/community/tutorials/active-learning
Iris Dataset: https://www.kaggle.com/uciml/iris
Music:
Acoustic Breeze - Bensound
Slow Motion - Bensound
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