This tutorial is a good general overview of SageMaker for those who already have quite a lot of experience in ML. But it is definitely not suitable for beginners. The first part was easy to follow but the second part was more confusing.

Great Tutorial

@awssupport Could you please record the tutorials in higher resolutions preferebly 1080p so that code is crisply visible for a better learning experience. Thanks!

Thank you guys for the tutorial. I had a problem implementing the scripts for SageMaker experiments. It appears that when working with SageMaker experiments, it's important to separate the training script from the SageMaker-specific code for managing experiments. So the "preprocessing.py" and "train.py" should not include any SageMaker-specific commands.

Can we get the code link

@awssupport

8 ай бұрын

Hi, Anurag! 👋 You can find the links to the workshop and the code repo in the description section of this video. 🧐 ^RF

@be_present_now

5 ай бұрын

@@awssupport Could you please record the tutorials in higher resolutions preferebly 1080p so that code is crisply visible for a better learning experience. Thanks!

hi where is link for code pls

@awssupport

10 ай бұрын

Hi there, I've passed along your request internally. 📨 We'll follow up if we're able to provide what you're looking for. If anything else comes up, explore our help options here: go.aws/get-help. 🔭 ^KB

@sndrstpnv8419

10 ай бұрын

@@awssupport any updates, why to hide open source code , what already was shown on video ?

17:39