Understanding LIME | Explainable AI

This is a step-by-step explanation of how LIME works, focusing on the classification task for tabular data. This video derives from my bachelor's thesis, which you can find on my LinkedIn.
My profiles:
LinkedIn: / aleixnieto
GitHub: github.com/aleixnieto
References:
Christoph Molnar book: christophm.github.io/interpre...
DeefFindr channel: / deepfindr

[@farnazfarhand5957]

That was comprehensive and perfect. thank you so much for sharing it.

[@shengtiansang4198]

Crystal clear and very helpful, I initially planned to delve into the LIME paper before watching any videos to gain a deeper understanding. However, I'm extremely fortunate that I watched the video first because the explanation was exceptionally clear. Thank you so much for sharing your insights on LIME.

[@aleixnieto]

Glad it was helpful!

[@daryab9416]

I have worked on LIME. The best explanation I have seen on it

[@ranaypadarath]

I found your video very helpful and a good introduction to LIME. Thanks!

[@mohamadmmdouh8176]

Great Explanation of the topic! 💪Hope you upload more videos on more topics 🙏

[@mikeguitar-michelerossi8195]

Well done!

[@thaisbeham7316]

Thank you! very good

[@guillemvilaseca7244]

Very interesting, so well explained!

[@aleixnieto]

Appreciate it joan!

[@susus2erico]

Perfect explanation! Good job

[@aleixnieto]

Appreciate it!

[@frenkie1281]

Very interesting and informative. Really liked the presentation.

[@aleixnieto]

Thank you!

[@farnazfarhand5957]

You had also a power point file in your github about SHAP. Have you prepared a video like this for SHAP as well? I didn't find any through search.

[@sanjaynt7434]

Your explanation is in depth and its a good thing not many channels explain like this. So do one thing in initial explanation terms or make series for understanding terms so you can link it while explaining and it will be easier to understand.

[@aleixnieto]

Thanks!

[@youtubeuser4878]

More please!

[@imanemoustati1455]

Thanks a lot. Please how can we get the image that shows which part was informative to the classifier ? is it LIME that give us this?

[@aleixnieto]

You can find that in the project repository: github.com/aleixnieto/TFG