How to Build a Machine Learning Recommendation Engine w/ TensorFlow & HarperDB

• song-recommender

  1 3 0.0 Jupyter Notebook

  Using TensorFlow with HarperDB Custom Functions to create a song recommendation engine.

  

Github repo: HarperDB/song-recommender

• book-recommender

  1 2 0.0 Jupyter Notebook

  Using TensorFlow with HarperDB Custom Functions to create a book recommendation engine. (by HarperDB)

  

Github repo: HarperDB/book-recommender

• WorkOS

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• Keras

  75 60,902 9.9 Python

  Deep Learning for humans

  

This is where machine learning takes over. Using libraries such as TensorFlow Recommenders with Keras models, it's easy to shape the data in ways that will allow the items and users to be viewed and compared in a multidimensional perspective. Qualitative features such as item categories and user profile attributes can be mapped into mathematical concepts that can be quantitatively compared with one another, ultimately providing new insights and better recommendations.

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