Hi guys! I am just beginning my journey in making UA-cam videos about Machine Learning. It would be great if you can give any feedback and suggestions so that I can improve the upcoming videos and make videos in topics that you are interested in. Thanks and happy learning!
I think your explanation is clear and good! And just a little suggetstion, it will be better if you could show us some code about the implementation of active learning.
Hi guys!
I am just beginning my journey in making UA-cam videos about Machine Learning. It would be great if you can give any feedback and suggestions so that I can improve the upcoming videos and make videos in topics that you are interested in.
Thanks and happy learning!
I think your explanation is clear and good! And just a little suggetstion, it will be better if you could show us some code about the implementation of active learning.
Thank you!
You can check out the link mentioned in the description and at the end of the video for the code.
bit.ly/medium-active-learning
Thank you for your explanation ... I have a question: what do you mean by getting an unlabelled instance is free in Stream-Based Selective Sampling?
Thanks! very clear elaboration!
Thanks
Can you pls share the slides?
I want to know about methodology of active learning....can you please help me.
K means ,
Random ,
Entropy ,
Uncertainty ,
Lease confident