A deep-dive into machine learning embeddings.

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• Stay away from unsupervised learning
• Skip neural networks
  Plugging an on off-the-shelf model from sklearn is often enough for an MVP. While weeks of tuning a neural net might provide a couple extra points of f1, it’s often not worth it in the beginning.
• Frame all problems as binary classification
• Tune your hyper-parameters