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38:23
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SFU Data & Dialogue Lab
Understanding CLASSIFICATION and Machine Learning is easy???? - Week 7 - IAT 461
Logistic Regression & Classification This lecture introduces classification via logistic regression, contrasting it with regression’s goal of predicting a number. Using a free-trial conversion example, it explains why a sigmoid “squeezing” function maps predictions to probabilities between 0 and 1, how a threshold (e.g., 0.5) creates a ...
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2 weeks ago
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