AWS Machine Learning Blog

MARCH 29, 2023

Data ingestion HAYAT HOLDING has a state-of-the art infrastructure for acquiring, recording, analyzing, and processing measurement data. Model training and optimization with SageMaker automatic model tuning Prior to the model training, a set of data preparation activities are performed.

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ML ML AWS Machine Learning 95

AWS Machine Learning Blog

JULY 13, 2023

Another way can be to use an AllReduce algorithm. For example, in the ring-allreduce algorithm, each node communicates with only two of its neighboring nodes, thereby reducing the overall data transfers. For training data, we used the MNIST dataset of handwritten digits. arXiv preprint arXiv:1609.04836 (2016). [3]

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Clustering Algorithm Deep Learning Deep Learning 89

AWS Machine Learning Blog

SEPTEMBER 11, 2024

This is accomplished by breaking the problem into independent parts so that each processing element can complete its part of the workload algorithm simultaneously. Parallelism is suited for workloads that are repetitive, fixed tasks, involving little conditional branching and often large amounts of data.

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AWS ML ML Clustering 113

DagsHub

JULY 25, 2024

TensorFlow implements a wide range of deep learning and machine learning algorithms and is well-known for its adaptability and extensive ecosystem. In finance, it's applied for fraud detection and algorithmic trading. Founded in 2016, HuggingFace has strongly impacted the field of NLP with its easy-to-use APIs and pre-trained models.

Deep Learning 52

Deep Learning Deep Learning Machine Learning Machine Learning 52

AWS Machine Learning Blog

NOVEMBER 11, 2024

SageMaker Studio is an IDE that offers a web-based visual interface for performing the ML development steps, from data preparation to model building, training, and deployment. epoch – The number of passes that the fine-tuning algorithm takes through the training dataset. Default for Meta Llama 3.2 1B and Meta Llama 3.2

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AI AI ML ML 123