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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -14,6 +14,7 @@ These examples provide a gentle introduction to machine learning concepts as the
- [Cancer Prediction](introduction_to_applying_machine_learning/breast_cancer_prediction) predicts Breast Cancer based on features derived from images, using SageMaker's Linear Learner.
- [Ensembling](introduction_to_applying_machine_learning/ensemble_modeling) predicts income using two Amazon SageMaker models to show the advantages in ensembling.
- [Video Game Sales](introduction_to_applying_machine_learning/video_game_sales) develops a binary prediction model for the success of video games based on review scores.
- [MXNet Gluon Recommender System](introduction_to_applying_machine_learning/gluon_recommender_system) uses neural network embeddings for non-linear matrix factorization to predict user movie ratings on Amazon digital reviews.

### Introduction to Amazon Algorithms

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1 change: 1 addition & 0 deletions introduction_to_applying_machine_learning/README.md
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Expand Up @@ -10,3 +10,4 @@ These examples provide a gentle introduction to machine learning concepts as the
- [Cancer Prediction](breast_cancer_prediction) predicts Breast Cancer based on features derived from images, using SageMaker's Linear Learner.
- [Ensembling](ensemble_modeling) predicts income using two Amazon SageMaker models to show the advantages in ensembling.
- [Video Game Sales](video_game_sales) develops a binary prediction model for the success of video games based on review scores.
- [MXNet Gluon Recommender System](gluon_recommender_system) uses neural network embeddings for non-linear matrix factorization to predict user movie ratings on Amazon digital reviews.
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