Classification Problems Explained
Supervised learning aims to develop a function that predicts outcomes based on input data. Classification problems are a key focus, distinguishing between binary classification—like determining if a movie review is positive or negative—and multi-class classification, such as identifying handwritten digits from the mNIST dataset. Understanding these distinctions is crucial for effectively applying machine learning techniques.In this clip
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Super Data Science: ML & AI Podcast with Jon Krohn
SDS 504: Classification vs Regression — with Jon Krohn
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