Authors
Dmytro Peleshko, Olena Vynokurova.
Abstract
Introduction. AWS (AWS management console and how to use it; using AWS SIMPLE STORAGE SERVICE (S3); automating work with AWS resources using PYTHON; elements of ML in AWS SAGEMAKER; AWS Lambda). Scikit and Unsupervised Learning (metrics; clustering; anomaly detection; dimensionality reduction; tracking neural models; tensor board; weights and Biases; neptune). Model optimization (Auto ml; hyper opt; ray tune). Model deploying (docker; TorchServe deployment; fastAPI deployment).
license
Creative Commons BY-SA 4.0
Language
English
Year of publication
2024
price
FREE
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This project has been funded with support from the European Commission. This publication [communication] reflects the views only of the author, and the Commission cannot be held responsible for any use which may be made of the information contained therein.