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AWS Supports You | Using Amazon SageMaker Studio Lab to Learn and Experiment with ML

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AWS Supports You | Using Amazon SageMaker Studio Lab to Learn and Experiment with ML

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AWS Supports You: Using Amazon SageMaker Studio Lab to Learn and Experiment with ML gives viewers on our twitch.tv/aws channel an overview of the state of Machine Learning, SageMaker Studio Labs considerations, and a demo of the Studio Labs. This episode originally aired on October 10th, 2022.

Intro 0:00
Machine Learning Today 7:06
What is Amazon SageMaker Studio Lab? 16:50
Studio Labs Demo 31:18
Conclusions 52:29

Helpful Links:
Amazon SageMaker Studio Lab –
https://aws.amazon.com/sagemaker/studio-lab/

Amazon SageMaker Studio Lab –
https://studiolab.sagemaker.aws/

Dive into Deep Learning (D2L) – https://studiolab.sagemaker.aws/import/github/d2l-ai/d2l-pytorch-sagemaker-studio-lab/blob/main/GettingStarted-D2L.ipynb

AWS Machine Learning University – https://studiolab.sagemaker.aws/import/github/aws-samples/aws-machine-learning-university-accelerated-tab/blob/master/MLU-MAIN.ipynb

Hugging Face – https://studiolab.sagemaker.aws/import/github/huggingface/notebooks/blob/master/transformers_doc/quicktour.ipynb

Machine Learning Blog – https://aws.amazon.com/blogs/machine-learning/category/artificial-intelligence/sagemaker/

Studio labs examples – https://github.com/aws/studio-lab-examples

Machine-readable translation data related to the COVID-19 pandemic – https://tico-19.github.io/

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ABOUT AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform, offering over 200 fully featured services from data centers globally. Millions of customers — including the fastest-growing startups, largest enterprises, and leading government agencies — are using AWS to lower costs, become more agile, and innovate faster.

#AWS #AmazonWebServices #CloudComputing

Date: October 11, 2022