Відео

Thank you so much for this awesome video. When I use this code in the #Train model section, I encounter this error. What is the solution?[17:50:59] C:\buildkite-agent\builds\buildkite-windows-cpu-autoscaling-group-i-0b3782d1791676daf-1\xgboost\xgboost-ci-windows\src\data\array_interface.h:492: Unicode-7 is not supported.

what is the article reference for this information i need it for my studies emergency, please

Would be nice if the pdp had some kind of confidence interval that varied with the feature value.

I don't understand

Great explanation, thank you very much

Can you make a video on how recruitment decision is made?

how do you know which parameter of image manipulation that will be robust for any data will be faced in the future?

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Really useful , thank you

Personally, the distinction is not necessary.

Great content.

Great content

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just stick to the explanations no need for the jarring adlibs

Appreciate a lot Prof Odyssey！Shaply values is now a more clear concept in my mind!

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Hello. Thanks for the tutorial. Regarding your XAI and SHAP courses, is there an order to how we should take the courses. Should we take the XAI before SHAP or vice versa. Thanks

Excellent explanation, just what I needed. Thank you.

Thanks Bruh! Great Content! Would be happy if you upload a video comparing Shap with LIME and Integrated Gradients. Its a hot topic rn in data science interviews.

Great! always clear

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This is awesome!

Thanks for the content on XAI and particularly SHAP, it's given me a good overview before I jump into the details. I have a sci-fi book recommendation for you: Hyperion and The Fall of Hyperion by Dan Simmons =) The first book is told from the perspective of 7 characters as they visit/revisit the planet of Hyperion that they've had dealings with in the past. Hyperion is a fringe planet in the Hegemony of Man, not connected via Farcaster, and thus a visit incurs significant time dilation. On the planet are artefacts from another intelligent force: the Time Tombs, a location with whacky time reversal effects, a 3 meter tall metallic creature covered in spikes known as the Shrike (which also has time manipulation abilities), and more. Identified as the only significant anomaly in the AI faction's predictions, everything seems to be converging on Hyperion as the Time Tombs open... Genuinely incredible read

I have recently joined a course on eXplainable Artificial Intelligence (XAI) of yours and I am interested in applying the concepts of interpretability to image data while ensuring that the model's accuracy is preserved. please do create some videos on that topic.

I have recently joined a course on eXplainable Artificial Intelligence (XAI) of yours and I am interested in applying the concepts of interpretability to image data while ensuring that the model's accuracy is preserved. please do create some videos on that topic. Thank you!

Thanks, I was recently reading a post in LinkedIn how to eliminate highly correlated features with hierarchical clustering, but that was not clear but this is much better explained.

I can't access SHAP python course. Could you please give me the access

Thank you so much! I was stuck at a hierarchical analysis as I did not know that I need to transpose my dataframe. Great video!

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This is the best channel so far for XAI content. Keep going!

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can you give an example of how to plot heatmaps for a PyTorch model?

Excellent video ❤❤❤❤❤❤

whats the color of your eyes?

Bro that was a nice explanation. thanks so much.

Excellent! You gave me an idea 💡 Great job!

Where is the link for the code for the insurance model?

Great explanation, thank you!

Dear Odyssey you are doing great. Keep continue and hit hard on all XAI models for a layman.

Why do I get a feeling that you are an AI?

give this man a gold medal

I just found your channel after reading your posts on Medium. I am currently working with satellite images, and I want to express my admiration for your excellent work. I have a question regarding the method you present in the article "Removing Clouds from Landsat Satellite Images with Python." Would it be feasible to implement it using Google Earth Engine (GEE) for image acquisition and other related processes?

This is the best way to explain explanations 😁 I am interested to see a video of yours with more complex models like Deep Neural Networks on Signal Data and how can we use SHAP on that. Great work!

Excellent content, keep it up!

Love to see a fellow South African in this line of work!

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Love this topic. Subscribed. I build evaluation frameworks for ML models in industry. Most ML scientists I deal with are trying to replicate the "science" they see in academic ML research. Explaining how it works isn't that much of a priority by stakeholders or the scientists until something goes wrong. Hence people's acceptance of a "black box". Saying to both groups that they should be more "scientific" will probably not go that well, even if you explain to them what "true" science is. Part of the reason is that the word "science" itself is at this point pretty stigmatized due to fraud and replication issues across science (good channel -> www.youtube.com/@PeteJudo1). I find fear-mongering more effective + showing an outline of a robust framework looks like.