One definition: "Machine learning is the semi-automated extraction of knowledge from data"
Unsupervised learning: Extracting structure from data
High-level steps of supervised learning:
First, train a machine learning model using labeled data
Then, make predictions on new data for which the label is unknown
The primary goal of supervised learning is to build a model that "generalizes": It accurately predicts the future rather than the past!
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