Intro to Semi-Supervised Learning in AI 📚

semi supervised learning
Imagine you want to train a model to classify text documents but you want to give your algorithm a hint about how to construct the categories. You want to use only a very small portion of labeled text documents because every document is not labeled and at the same time you want your model to classify the unlabelled documents as accurately as possible based on the documents that are already labeled
For these type of problems semi supervised learning will be useful.
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In this video we discussed :
1. what is semi supervised learning
2. Why is semi supervised learning important
3. Basic algorithm of semi supervised learning
4. Some practical applications of semi supervised learning

I recommend you to learn about supervised and unsupervised learning before seeing this video
Cause some of the topics discussed in this video are related to these concepts
SUPERVISED VS UNSUPERVISED LEARNING: https://youtu.be/-ZfTjmbrvZ4

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https://vocal.media/fyi/some-cool-facts-about-ai-it-s-advancements-discoveries-in-major-fields

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