Intro to Semi-Supervised Learning in AI π
Learn the basics of semi-supervised learning, combining labeled and unlabeled data for effective AI model training.

Ramarao Manthripragada
5.4K views β’ Aug 27, 2020

About this video
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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My articles :
https://vocal.media/fyi/some-cool-facts-about-ai-it-s-advancements-discoveries-in-major-fields
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Contact us :
Gmail: aijrvae@gmail.com
SUBSCRIBE NOW: https://www.youtube.com/AIJRVAE
FOLLOW US ON INSTAGRAM: https://www.instagram.com/ai_jrvae
CONNECT US ON LINKEDIN: https://www.linkedin.com/in/ai-jrvae-086b881b4
****************************************************************
#AIJRVAE #machinelearning #semisupervisedlearning
Feel free to leave your doubts or suggestions regarding this topic in the comments below.
And support us by subscribing our channelπππ
Leave us a thumbs up ππ
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.
****************************************************************
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
****************************************************************
My articles :
https://vocal.media/fyi/some-cool-facts-about-ai-it-s-advancements-discoveries-in-major-fields
****************************************************************
Contact us :
Gmail: aijrvae@gmail.com
SUBSCRIBE NOW: https://www.youtube.com/AIJRVAE
FOLLOW US ON INSTAGRAM: https://www.instagram.com/ai_jrvae
CONNECT US ON LINKEDIN: https://www.linkedin.com/in/ai-jrvae-086b881b4
****************************************************************
#AIJRVAE #machinelearning #semisupervisedlearning
Feel free to leave your doubts or suggestions regarding this topic in the comments below.
And support us by subscribing our channelπππ
Leave us a thumbs up ππ
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Video Information
Views
5.4K
Likes
122
Duration
7:44
Published
Aug 27, 2020
User Reviews
4.6
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