Thanks Emma , these short videos come in handy when preparing for interview

Hi Emma, it is a really good summary videos on the matter of imbalanced dataset. Thank you and keep up the good work!

This video is amazing. It was easy to understand and summarized different possibilities for dealing with unbalanced data. Congratulations! Keep helping people. I am very grateful for your explanation!

This video helped me clear an interview. Subscribed. Thank you.

I enjoyed this video. Thanks for this Emma

Best Video on ML, I understood very clearly. Thank You

Great topic! Thanks for covering

This is really helpful. thank you so much for putting out these videos!

@emma_ding

Жыл бұрын

So glad you find them helpful, Daniel! Thanks for watching. 😊

Emma,great explanation and to the point.

Hi Emma, these videos are really good. can you make a video on time series analysis

Many of you have asked me to share my presentation notes, and now… I have them for you! Download all the PDFs of my Notion pages at www.emmading.com/get-all-my-free-resources. Enjoy!

@jerrywang1550

Жыл бұрын

is it possible to share your notion file? Thank you

@emma_ding

Жыл бұрын

@@jerrywang1550 You can download all the PDFs of my Notion pages at emmading.com/resources by navigating to the individual posts. Enjoy!

@jerrywang1550

Жыл бұрын

@@emma_ding I mean your notion files, not PDF. Thank you

Subscribed !!

Wonderfull!

Hi! Is there a way you can share this notion document! Thank you!! Great content

Thanks Emma, Can we also have a series of videos on deploying ML models in production?

@emma_ding

Жыл бұрын

Thanks for your comment, Sanyam! 😊 I've added your idea to my list of content suggestions.

Hey Emma..big fan of your work😀,looking for series in model deployment.. if you can add things like processing(batch/stream), serving(batch/realtime) and learning(offline/online) part in production. sorry if it is a big ask🥲

@emma_ding

Жыл бұрын

Thanks for your comment! I've added your suggestions to my list of content ideas. 😊

Checkout this paper on Gumbel loss/activation for LVIS long tailed dataset, interesting method for imbalanced datasets

@shilashm5691

Жыл бұрын

Paper link?

@kaikapioka9711

10 ай бұрын

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Hi Emma. Could you talk about chatGPT (including its model, dataset, algorithms, system design, etc) for the next video? Thank you.

@emma_ding

Жыл бұрын

Thanks for your comment! 😊 I've added your idea to my list of content suggestions.

To my view, imbalance of data does not pose a problem. During classification one ought to model class membership distributions, and these may be small. As long as they are correct, there is no problem. One should, of course, use proper scoring rules (i.e. not accuracy) to maximize the classification problem. Tetlock's Superforecasting serves as a wonderful and very readable introduction to predicting unbalanced classes.

Hi, Emma! Thanks for sharing. Very helpful materials. But i got a probleme when downloading the presentation notes, somehow the notes for imbalanced dataset is missing, when I click the imbalanced dataset notes, it actually opens the notes for encoding categorical data, could you please help with this?

@emma_ding

Жыл бұрын

Thank you so much for letting me know! I apologize for the mix-up, and have corrected the issue. Thanks for your patience. 💛

hey Emma please send me the code for imbalanced image datasets

In the ‘why imbalance is important’ part, the accuracy for rare event predicting model can be solved by relying on other evaluating metric such as precision and recall, isn’t that right?. It’s not explaining the why

7:02 **in the minority class

Hi, audio clipping detected..

You are just reading the text written in the book, try to explain with examples and further in detail, apart from what is already mentioned in the book.

is 75:25 imbalanced dataset

A gorgeous ML scientist

please reply me

Your content is good, but your strong accent needs improvement.

So bad