Moved to a new repository!

We have launched a new repository at AWS Samples. Please visit https://github.com/aws-samples/aws-ai-ml-workshop-kr and use the latest material there!

This respository will be left as-is for a record and for previous users.

ai-ml-workshop

This Git is a collection of AWS AI/ML Immersion Day hands-on materials specifically for Korean AWS users.

Name		Name	Last commit message	Last commit date
Latest commit History 63 Commits
2018-09		2018-09
images		images
.gitignore		.gitignore
03-Factorization-Machines-Movielens.ipynb		03-Factorization-Machines-Movielens.ipynb
AWS Korea AI ML Immersion Day Hands-on PilHoKim 5th September 2018.pdf		AWS Korea AI ML Immersion Day Hands-on PilHoKim 5th September 2018.pdf
AmazonReview-pilhokim.ipynb		AmazonReview-pilhokim.ipynb
Building-Recommendation-Engine-Using-Factorization-Machines-PilHoKim-29thAugust2018.ipynb		Building-Recommendation-Engine-Using-Factorization-Machines-PilHoKim-29thAugust2018.ipynb
DeepAR-HomeElectric.ipynb		DeepAR-HomeElectric.ipynb
Image-classification-transfer-learning.ipynb		Image-classification-transfer-learning.ipynb
Movie recommendation on Amazon SageMaker Using Factorization Machines-5thSep2018.ipynb		Movie recommendation on Amazon SageMaker Using Factorization Machines-5thSep2018.ipynb
README.md		README.md
SageMaker-Seq2Seq-Translation-English-German-InternetFacingApp.ipynb		SageMaker-Seq2Seq-Translation-English-German-InternetFacingApp.ipynb
TensorFlow_Distributed_MNIST.ipynb		TensorFlow_Distributed_MNIST.ipynb
lambda_function.py		lambda_function.py
sample_query.json		sample_query.json
video-game-sales-xgboost.ipynb		video-game-sales-xgboost.ipynb