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
Learning materials
other sources - mind map
created with support of
Co-funded by the European Union. The views and opinions expressed are those of the authors and do not necessarily reflect those of the European Union or the Czech National Agency for International Education and Research. Neither the European Union nor the grant provider is responsible for them.
