Відео

دكتور ريان بعد اذنك محتاجه اعرف إيه الكورسات اللي أخدها في AI تساعدني ابتدي بيزنيس خاص بيا في مصر ميرسي مقدماً للتعاون

Amazing video

Good Video, thanks

Have any benchmarks been done with code before and after applying ChatGPT optimizations?

Resnet 19 is working way better for my purposes than anything else I've tried

clear as a crystal, thankyou

Really a pristine work, in explaining the ideas behind the concept. I found it really useful for having an overview look before dealing with all the math behind. Thanks

Unfortunately this video does everything but explain the core concepts behind RESNET.

Just came from a KMeans clustering course that demonstrates how normalization results in better clusters. But at 11:40, you say KMeans clustering doesn't require standardization or normalization. I'm confused.

top explanation along with code, can you upload the notebook file with each video u explain . thanks

The best ever. Thanks

thank u so much

Thank you so much!!!this video helped me find the error and now the sliceк works with the map ;)

You might be working on an older version of Power BI. Power BI does NOT include the 'don't summarize' option for variables, even if continuous.

thanks 🙂

the outlier thing is so crucial actually damn, i havent seen this is in a machine learning course before, banger

thank you boss man, just used normalization instead of standardization, life saver

After searching 2 days , Finally I learned GB algorithms. Thank you so much

Awesome video! 👌

You look cool and your content is impressive

Thank You Leonard Hofstadder..🙂

Wonderful explanation

This professor is so pleasant for all senses. Thanks for sharing knowledge selflessly :)

worst explanation!

Thank you so much, I watched a lot of videos and read various articles on the manner, and this is the best, most clear video for me yet.

Bruh made it so simple 🎉

2:13 - 2:18 should be cut from the video

Best explanation ever sir.

can we change the noice into 8 ?

Poorly explained.

Very nice and straight to the point explanation!! Also thanks for the summary at the end

why he subtract 100 -50 and not 50-100 but in the horizontal he goes for 120-70 so one time he (initial point - terminal point) and other horizontal is ( terminal point - initial point)

Thank you sir!!

SUPEEEEEEEER clair. thanks

Where is the hyperparameter video?

Hi Prof Ryan, I write from Egypt. I really like your English accent, it's more understandable for me, after watching Normalization and Standardization video. I ask about when deploying a machine learning model in a simple Python prediction system, Does I have to do same scaling before push the features into the predict() method, or what?

I agree. Verbal and non verbal language cannot be differentiated by ai.

You are life saver ❤

I thought this was the best video I’ve seen. You were precise and scholarly.

A whole semester in 20 minutes

super explanation...5 stars

which interface you r using for hyperparametertunning

I just came from StatQuest and this is by far the best simple and direct explanation.

Thank you Prof. Ahmed for a visual explanation. Great video.

Good theoretical explanation.. but I think scaling is used for k means, knn

Thanks for the great content, very well explained.

The best explanation for Nearest Neighbor Classifiers method

Excellent thanks!!!

so simply its exactly like ridge but it eliminates noise

Hey, can I ask a question? I had a PhD in medicine. I’m currently studying bachelor in Technology Information. I want to introduce in ia. And I don’t know if i have to start a bachelor in IA or maybe is better do a master in IA and machine learning. I’m afraid in the future that I will not have work offers or opportunities