AWS Machine Learning Blog

JUNE 18, 2024

On December 6 th -8 th 2023, the non-profit organization, Tech to the Rescue , in collaboration with AWS, organized the world’s largest Air Quality Hackathon – aimed at tackling one of the world’s most pressing health and environmental challenges, air pollution. As always, AWS welcomes your feedback.

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AWS Machine Learning Blog

NOVEMBER 16, 2023

By utilizing insights found in the images, not previously available in the tabular data, we can improve the accuracy of the model. Both the images and tabular data discussed in this post were originally made available and published to GitHub by Ahmed and Moustafa (2016). How would you assess the home’s value from these images?

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AWS Machine Learning Blog

MARCH 29, 2023

Input data is streamed from the plant via OPC-UA through SiteWise Edge Gateway in AWS IoT Greengrass. Model training and optimization with SageMaker automatic model tuning Prior to the model training, a set of data preparation activities are performed. Samples are sent to a laboratory for quality tests.

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AWS Machine Learning Blog

SEPTEMBER 11, 2024

Examples of other PBAs now available include AWS Inferentia and AWS Trainium , Google TPU, and Graphcore IPU. Around this time, industry observers reported NVIDIA’s strategy pivoting from its traditional gaming and graphics focus to moving into scientific computing and data analytics.

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DagsHub

JULY 25, 2024

Further Reading TensorFlow Documentation TensorFlow Tutorials PyTorch PyTorch, developed by Facebook's AI Research Lab (FAIR) , was released in 2016. Founded in 2016, HuggingFace has strongly impacted the field of NLP with its easy-to-use APIs and pre-trained models. Further Reading and Documentation H2O.ai Documentation H2O.ai

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AWS Machine Learning Blog

JULY 13, 2023

arXiv preprint arXiv:1609.04836 (2016). [3] In his spare time, he enjoys cycling, hiking, and complaining about data preparation. International Conference on Machine Learning. PMLR, 2018. [2] 2] Keskar, Nitish Shirish, et al. “On On large-batch training for deep learning: Generalization gap and sharp minima.”

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AWS Machine Learning Blog

NOVEMBER 11, 2024

Prerequisites To try out this solution using SageMaker JumpStart, you’ll need the following prerequisites: An AWS account that will contain all of your AWS resources. An AWS Identity and Access Management (IAM) role to access SageMaker. He is specialized in architecting AI/ML and generative AI services at AWS.

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