What is the difference between variance and invariance?
Variance refers to the degree of change or variability in a dataset, while invariance indicates a property that remains unchanged under certain transformations.
Can you give me an example of variance in real life?
Sure! An example of variance in real life is the difference in heights of individuals in a population. Some are tall, some are short, creating variability.
What about invariance? Can you explain that with an example?
Invariance can be seen in physics, like the laws of motion that remain the same regardless of the observer's position or speed.
How are these concepts applied in machine learning?
In machine learning, variance can affect model performance, leading to overfitting, while invariance helps models generalize better across different inputs.
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