AWS Machine Learning Blog

OCTOBER 10, 2023

Customers often need to train a model with data from different regions, organizations, or AWS accounts. Existing partner open-source FL solutions on AWS include FedML and NVIDIA FLARE. These open-source packages are deployed in the cloud by running in virtual machines, without using the cloud-native services available on AWS.

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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. This is done to optimize performance and minimize cost of LLM invocation.

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AWS Machine Learning Blog

DECEMBER 14, 2023

Established in 2011, Talent.com aggregates paid job listings from their clients and public job listings, and has created a unified, easily searchable platform. The system includes feature engineering, deep learning model architecture design, hyperparameter optimization, and model evaluation, where all modules are run using Python.

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AWS Machine Learning Blog

OCTOBER 23, 2023

Founded in 2011, Talent.com is one of the world’s largest sources of employment. The system is developed by a team of dedicated applied machine learning (ML) scientists, ML engineers, and subject matter experts in collaboration between AWS and Talent.com. The recommendation system has driven an 8.6%

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AWS Machine Learning Blog

APRIL 19, 2023

Most publicly available fraud detection datasets don’t provide this information, so we use the Python Faker library to generate a set of transactions covering a 5-month period. Prerequisites We provide an AWS CloudFormation template to create the prerequisite resources for this solution. This dataset contains 5.4

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DagsHub

JULY 25, 2024

A good understanding of Python and machine learning concepts is recommended to fully leverage TensorFlow's capabilities. Integration: Strong integration with Python, supporting popular libraries such as NumPy and SciPy. However, for effective use of PyTorch, familiarity with Python and machine learning principles is a must.

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AWS Machine Learning Blog

JULY 20, 2023

All these solutions include a meta-estimator (for example in an AWS Lambda function) that invokes each model and implements the blending or voting function. Framework containers enable you to use ready-made environments managed by AWS that include all necessary configuration and modules. References [1] Raj Kumar, P. 34 (11): 1328–1341.

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