[P] Tutorial: How to Build an End-to-end Active Learning Pipeline

Hey r/MachineLearning, it's Nir from DagsHub 🐶

Ever since Telsa revealed it is using Active Learning to build Computer Vision models, it has rapidly grown in popularity among the data science community. However, the hype around it has never correlated with the [low number of projects and research](https://www.reddit.com/r/MachineLearning/comments/el2vhy/d_why_isnt_there_more_research_papers_related_to/)[ papers that uses this method](https://www.reddit.com/r/MachineLearning/comments/el2vhy/d_why_isnt_there_more_research_papers_related_to/).

[Active Learning Cycle ](https://preview.redd.it/t75o7q68viib1.png?width=1516&format=png&auto=webp&s=a34e54e3556df7b570790d90c609d9a35b762e45)

But why? It's a very efficient method that semi-automates the labeling process and helps reduce the number of samples we label to the …

active learning build building dagshub hey labeling machinelearning pipeline process reduce something tutorial