Clear and concise. I've always appreciated the similarity between SageMaker and Jupyter notebooks in their UI distribution. Perhaps I'm a nostalgic Data Scientist who prefers a simple canvas to work on. Hehe.
Hi @Julien Simon - Thank you sir for your great videos. I've learnt AWS SageMaker by following your youtube channel. Your explanation and contents are amazing. 👍 😀
Sure :) The endpoint is a regular HTTPS endpoint. You can HTTP POST to it, or use a Predictor in the SageMaker SDK docs.aws.amazon.com/sagemaker/latest/dg/neo-requests-sdk.html
Hi @Julien, thanks for the video. I am looking for a tutorial where I can call a Sagemaker endpoint with a restAPI and continuously run inference. Where can I find that? Please guide.
This should help aws.amazon.com/blogs/machine-learning/creating-a-machine-learning-powered-rest-api-with-amazon-api-gateway-mapping-templates-and-amazon-sagemaker/
Amazon SageMaker
1.Prepare -- 6:56
2. Build -- 11:59
3. Train & Tune -- 25:44
4. Deloy -- 33:51
5. Demo -- 38:14
6. Links & Conclusion -- 58:41
Clear and concise. I've always appreciated the similarity between SageMaker and Jupyter notebooks in their UI distribution. Perhaps I'm a nostalgic Data Scientist who prefers a simple canvas to work on. Hehe.
Hi @Julien Simon - Thank you sir for your great videos. I've learnt AWS SageMaker by following your youtube channel. Your explanation and contents are amazing. 👍 😀
Great to hear!
Great lectures.
In detail. Helpful. Thank you
You're welcome!
how can we invoke the endpoint from outside the sagemaker studio session? any other video where this is explained?
Sure :) The endpoint is a regular HTTPS endpoint. You can HTTP POST to it, or use a Predictor in the SageMaker SDK docs.aws.amazon.com/sagemaker/latest/dg/neo-requests-sdk.html
Julien, Good one really, I have a quick question. Is Appstream 2.0 can be deployed via SCCM? Can i have the steps if this can be done?
I know nothing about Appstream and SCCM.
Julien, could you please share the GIT repo for the project?
This should be the one: gitlab.com/juliensimon/awsdevdays2020/-/blob/master/mls1/XGBoost.ipynb
Hi @Julien, thanks for the video. I am looking for a tutorial where I can call a Sagemaker endpoint with a restAPI and continuously run inference. Where can I find that? Please guide.
This should help aws.amazon.com/blogs/machine-learning/creating-a-machine-learning-powered-rest-api-with-amazon-api-gateway-mapping-templates-and-amazon-sagemaker/
@@juliensimonfr Thank you Sir :)
I learned a lot!
great, thanks for watching.