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sagemaker-rec-demo

Building a Recommender System with Amazon SageMaker Factorization Machines and BlazingText

Contents

Notebook: fm_amazon_recommender.ipynb

Main Workshop:

  • Background (Factorization Machines)
  • Setup
    • Spin up SageMaker hosted notebook instance in console
    • Add SageMaker IAM policy to this SageMaker notebook to allow S3 read/write access
    • Create new S3 bucket (first cell)
    • Import necessary libraries (second cell)
  • Dataset
  • Data preprocessing
  • Training
    • Create SageMaker estimator
    • Launch training job
  • Host
    • Deploy endpoint to perform inference

Extra Credit:

  • Background (New challenges, word2vec, BlazingText)
  • Data Augmentation
  • Dimensionality reduction with t-SNE
  • Train
  • Host