Understanding Linear Regression and Mean-Square Error Loss Function
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YouTubeVivek Choudhry
Understanding Linear Regression and Mean-Square Error Loss Function
In this visualization, we dive deep into Mean Squared Error (MSE)—the standard Error Function to calculate error for Linear Regression. Watch as the model tunes its parameters (m and c) to find the line of best fit. What’s happening in the clip? Tunable Parameters: See m (slope) and c (intercept) evolve in real-time. Notice the dark blue ...
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