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2min chapter
K-Means in Practice
Data Skeptic
Machine Learning Clustering
With clustering, you have to do a lot more home work after the model has been built. It's going to be more work than just running a supervise learning alarithm or doing feature enginearing. Ustalba: "You need to understand the mortal architecture well neu to know what's happening inside the model"
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