An Introduction to Active Learning | Machine Learning

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Active learning is a technique used in machine learning to get good performance by labelling less data.
This video gives and introduction to active learning with an example.

Here are some additional resources for active learning:
Active Learning Resource PDF -

Image References:

Music:
Acoustic Breeze - Bensound
Slow Motion - Bensound

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Concise and clear explanation! Thank you for the tutorial.

buvaneswariramanan

thanks bro, very helpful and simplified !

utkarshraj

Very good explanation, thanks for sharing😁

kingwsd

Hi, do you now if there are any resources for active learning in recommendation algorithms or any library that can be useful for this purpose?

nasimsonboli

So for the second iteration onward, will the algorithm does the labeling on its own for certain important points or will the oracle does the labeling ??

SAINIVEDH

Hello there, This video realy simplifyed more understanding after reading the Datacamp article about AL.
I have resently read an article on Deep Active learning and I m interrested in it. Please do know any practical (with code) that could teach me how to combine both techniques for future data labeling optimization ? Im new to AL

malikimoustapha

4:00 Sir what if the algorithm labels that uncertain point incorrectly?? How can this issue be addressed?

sandeepvivek

Can you give a brief description of how an algorithm of active learning on a set of data would look in something like Python? I'm struggling with grasping how we can apply these concepts into a code.

davidhuang

Akhilesh can you help in a IEEE paper solving ?? It has main part for active learning... Shall i share you ML problem or link ?

aryansakhala

The video was clear, but could you revise it? It is very misleading and I think needs correction

meghanaraokanneganti

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