Upvote this comment if you'd like me to do a video on NextJS! (JavaScript framework that's what I used to build Huberman Transcripts: www.hubermantranscripts.com/ )
Gold. could you please Give the idea about what will be the other series in the ml Ops? so next js for front end and API if I am not mistaken. what will be left after that in your opinion? since I am learning ml Ops your advice would be greatly appreciated. Thank you for sharing your experience in youtube!
Wow huge fan of all this content! I've been checking youtube daily for it all :) I like the idea of looking into how one would upscale as well, but just as an icing - on - the - cake comment! What we have in this one is already ideal
Awesome video! It would be great if you could show how to scale an app to enterprise level one. Both in terms of backend an making frontend (a bit) more handy (mb JS as you’ve said) and also hosting it on a custom URL domain. Keep going, MLOps series is fire🔥 for all ML background guys, thank you!
Thanks a lot. Although as a data scientist I have never run into building interactive apps like this it was still very exciting to watch. I vote for another video for building rest-api based backend for realtime inference, and scaling it. Rather then next.js... Thank you very much!
Great video, the length was just right for this episode. Excited to see Gradio, although I'm not sure what to think about the JS stuff. I have nothing against it but I also know nothing about JS or building anything with it. If you think it's interesting to share then I would be down to see it action anyway. But I don't think I'll be doing any JS myself soon, too many things and too little time :)
Good length as in if it was longer it would be too long? How about shorter? :) Yep, it's good to know how that part looks like even if eventually some dedicated front-end dev will be doing that part :))
@@TheAIEpiphany +/- 15min would be fine as well for sure. I guess it depends on the topic, do what feels right to you :) Personally I'm not a fan of short videos (
Interesting video! I think that a video about monitoring would be great, e.g. ideas about data drift and model performance. If you are interested in sharing some MLOps ideas, let's get in touch
Great explanantion, thanks man! One thing I noticed at around 9:30, when you moved the slider widget for 'x', it also moved the map above. I also tried this on my machine and saw same results. Do you know why it's happening? Is it a glitch, or it's suppose to behave like that?
I believe, it is because the random function used to build pandas dataframe. So, when moving the slider, the streamlit must be running the whole script in the background, and which will be running the random function in the map data again in the background.
We learn how to build a fully-fledged web app using Streamlit + HuggingFace Inference API on the backend. Python all the way!
Hey Aleksa, awesome video, I've been waiting impatiently for a month for the next video of the series to come out. Any idea when that'll happen :) ?
Pls continue this series. Not much resources are available on MLOps online which suit beginners. These videos are very helpful.
Upvote this comment if you'd like me to do a video on NextJS! (JavaScript framework that's what I used to build Huberman Transcripts: www.hubermantranscripts.com/ )
Gold.
could you please Give the idea about what will be the other series in the ml Ops?
so next js for front end and API if I am not mistaken.
what will be left after that in your opinion?
since I am learning ml Ops your advice would be greatly appreciated.
Thank you for sharing your experience in youtube!
Wow huge fan of all this content! I've been checking youtube daily for it all :)
I like the idea of looking into how one would upscale as well, but just as an icing - on - the - cake comment! What we have in this one is already ideal
Awesome video!
It would be great if you could show how to scale an app to enterprise level one. Both in terms of backend an making frontend (a bit) more handy (mb JS as you’ve said) and also hosting it on a custom URL domain.
Keep going, MLOps series is fire🔥 for all ML background guys, thank you!
I am definitely going to cover basics of Next.js, thanks for the feedback
Thanks a lot. Although as a data scientist I have never run into building interactive apps like this it was still very exciting to watch.
I vote for another video for building rest-api based backend for realtime inference, and scaling it. Rather then next.js...
Thank you very much!
Thank you so much for sharing this with us on TH-cam ❤🔥from Seoul 🇰🇷
You're welcome! I love Seoul, been there in 2019 during the ICCV conference, cheers!
Awesome series! Will there be more episodes? Thanks!
Great video, the length was just right for this episode. Excited to see Gradio, although I'm not sure what to think about the JS stuff. I have nothing against it but I also know nothing about JS or building anything with it. If you think it's interesting to share then I would be down to see it action anyway. But I don't think I'll be doing any JS myself soon, too many things and too little time :)
Good length as in if it was longer it would be too long? How about shorter? :)
Yep, it's good to know how that part looks like even if eventually some dedicated front-end dev will be doing that part :))
@@TheAIEpiphany +/- 15min would be fine as well for sure. I guess it depends on the topic, do what feels right to you :) Personally I'm not a fan of short videos (
Good video to get basic knowledge for streamlit.
I would love to see how we can use our custom model of VISION/NLP to classify or detect.
Keep going 🤗
Hi Aleksa, great content, definitely Javascript frameworks are worth to be talked about, as you said JS is the lengua-franca of web applications.
wonderful !! Thanks alot to share this great video :))
That's awesome, thank you very much!!
Great video! I'd be interested in a Next.js intro video having primarily worked in Python up till now
I found this to be very useful and practical.
when is the (part 3) of this series going to be out?
cheers!
Interesting video! I think that a video about monitoring would be great, e.g. ideas about data drift and model performance. If you are interested in sharing some MLOps ideas, let's get in touch
Planning to cover it. You have any tools in particular you'd love to see?
@@TheAIEpiphany For monitoring I'd love to see how Evidently AI can be used
really love it!
Great content keep it up man.
Thanks!
Great explanantion, thanks man! One thing I noticed at around 9:30, when you moved the slider widget for 'x', it also moved the map above. I also tried this on my machine and saw same results. Do you know why it's happening? Is it a glitch, or it's suppose to behave like that?
I believe, it is because the random function used to build pandas dataframe. So, when moving the slider, the streamlit must be running the whole script in the background, and which will be running the random function in the map data again in the background.
Cool stuff 👍
Merci
Hi Aleksa and thank you! so it's no possible to build a private webpage?
when will you be uploading your next video?
Great video. Zoom in a little bit if you can because I am watching on smartphone... 😁
how many parts are in the series? is this 2 of 2 in the series?
How would you store database password and username in Streamlit/Hugging Face?
Do you prefer Mac or Windows for development?
Awesome series! Will there be more episodes?
Thanks!