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1:40
YouTube
Rajistics - data science, AI, and machine learning
Understanding Entropy and Information Gain in Machine Learning
This video explains how entropy measures disorder or uncertainty in machine learning. Low entropy occurs when a feature clearly predicts a class; high entropy occurs when classes are evenly mixed, making prediction harder. Using examples like messy rooms and credit ratings, it shows how features with low entropy (e.g., "Poor" credit rating ...
5.4K views
Apr 25, 2025
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Ever wondered why time only moves forward and never backward? Physics suggests the answer lies in a concept called entropy. Entropy describes how many possible microscopic arrangements a system can have. Over time, systems naturally move from more ordered states to more probable, disordered ones. That’s why broken glasses don’t spontaneously reassemble… why heat flows from hot objects to cold ones… and why the past feels fixed while the future feels uncertain. The arrow of time isn’t imposed by
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