https://github.com/settinghead/ai-lda-sagemaker
Jupyter notebook to train and deploy an LDA topic model to the cloud using Amazon Sagemaker
https://github.com/settinghead/ai-lda-sagemaker
Last synced: 9 months ago
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Jupyter notebook to train and deploy an LDA topic model to the cloud using Amazon Sagemaker
- Host: GitHub
- URL: https://github.com/settinghead/ai-lda-sagemaker
- Owner: settinghead
- Created: 2018-11-08T21:30:19.000Z (over 7 years ago)
- Default Branch: master
- Last Pushed: 2018-11-08T21:30:50.000Z (over 7 years ago)
- Last Synced: 2025-01-14T19:13:33.062Z (over 1 year ago)
- Language: Jupyter Notebook
- Size: 1.92 MB
- Stars: 1
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# LDA on Sagemaker
This Notebook presents the simple use case of training and deploying a topic model to the cloud.
## Who We Are
Rangle accelerates digital innovation. We at Rangle believe that Artificial Intelligence (AI) and Machine Learning (ML) have the potential to redefine what it means to build software and provide great user experience.
We work with our clients together to integrate AI into their product strategy decisions and build out novel user experiences and smart applications.
## Before You Start
Make sure you have all the Python 3 module requirements met. You could simply run
```
pip3 install -r requirements.txt
```
Running this notebook might incure costs. Please make sure you are aware of the costs and don't forget to delete any remaining resources when you're finished.