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السلام علیکم
The Lab / 01
Watch a simple model find a pattern. Change the learning rate and see the line move closer to the data.
01 / Finding a pattern
Live experimentTraining steps
Mean squared error
The size of each adjustment. Try a smaller rate to see learning happen more slowly.
y = -0.650x + 0.420
Ivory dots: fixed sample data. Copper line: the model’s current fit.
What is happening?
A small, transparent example of machine learning: fitting a straight line to a fixed set of sample points. Every step adjusts the slope and intercept to reduce the average squared error.
The takeaway
Learning is a series of small adjustments. This is linear regression with gradient descent, not a neural network or a prediction service.