Deploy ML model in 10 minutes. Explained
ฝัง
- เผยแพร่เมื่อ 10 ต.ค. 2023
- Level up your Data Science to Machine Learning Engineering.
Docker engine download: docs.docker.com/engine/install/
Repo with code from video: github.com/DanilZherebtsov/ml...
Study
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MACHINE LEARNING DEPLOYMENT INTO PRODUCTION ENVIRONMENT
Course 1 (Intro in ML in prod): imp.i384100.net/MLProduction1
Course 2 (ML&Data Lifecycle in prod): imp.i384100.net/MLProduction2
Course 3 (ML Modeling Pipelines in prod): imp.i384100.net/MLProduction3
Course 4 (Deploying ML in prod): imp.i384100.net/MLProduction4
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DOCKER & KUBERNETES (best course out there)
tinyurl.com/25zjfe24
--------------------------------------------------------------------------------------------------------------- - วิทยาศาสตร์และเทคโนโลยี
Nicely explained. I just wanted this much info only, saved myself from taking a 3-hr coursera course. Thank you
Glad it was helpful!
Yeah same here :))
This is awesome. Thank you for posting
Thank you for watching!
The most underrated channel i have ever seen , you give a very nice content and information with a very simple way , thank you very much
Thank you!
Thanks a lot for the great video. Somehow the links for course 3 and 4 are invalid. Could you please help update the links?
Very informative.
Thanks!
@Danil_Zherebtsov
please create video on roadmap of mlops, and also end-to-end mlops projects, with and without open-source tools projects
thanks bro you explain so good God with you !
Happy to help
Very nice video and clearly explain
Currently i am learning about ci/cd and cloud deploy for ml project, could you kindly please do a video on that subject?
Coming up shortly.
soo good
Thanks man!
Nicely explained, please will it be the same steps for a pikl file ?
Yes, pickle is just a different container. The only thing to change in this case is the model loading part with pickle instead of joblib. The rest will be the same.
The commands in terminal work in os Windows?
I haven’t touched a windows machine is a decade, so can’t be certain, but I’m pretty sure that some modifications will be necessary.
You may have to change the slashes direction in all the paths.
❤❤❤❤❤❤❤
Do you know if the problem of compatibility between M chips and Docker is solved?
I know that the problem exists, but I’ve never encountered it. In my case Docker had been working perfectly fine.
I guess compatibility issues arise only with certain OS versions.
How or where can we deploy that Docker container to be used along the internet?
AWS or GCP, Azure i guess, every company now require every machine learning engineer to know about CI/CD pipeline, have experience with cloud service, or at least that is my point of view from recently job interview that i got deny :>> Gotta learn a lot lot more
@@piano_tam97106 I'm sorry to hear that, thanks for the reply, good luck!
I guess I need to make a separate video on this subject. Stay tuned.
Can we do the same with open source model?
What do you mean by open-source model?
If you have any trained model and code to inference it - you can deploy it.
Thank you for your reply, i think I got it.
Seems Hard)
The intention was to show how easy it actually is 😉
remove background audio track its distracting
Thanks for the feedback. Unfortunately, published videos cannot be amended.
/bin/sh: 1 : [uvicorn,: not found
A little more context wouldn’t hurt
"PromoSM" 🤤
There is nothing to promote here. Common practice.