145: Unsupervised Machine Learning
Programming Throwdown
Clustering Algorithms for Basketball and Basketball
You could do some type of let's say contrastive learning, which is a self supervised approach. You might even actually just use the positions right there you know that all the centers should be close together. And then take two people who are from two different positions they should be far apart. With an embedding that's that's really powerful and so contrastive learning and auto encoding where you feed in the same thing that you're trying to predict. Are two ways of generating really nice spaces for clustering other things. This is awesome. So yeah so you're you're training both halves but you may be taking i guess you were calling it like the latent space in the middle the encoded thing
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