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I applied via campus placement at University of Wisconsin-Madison, United States and was interviewed before Jun 2023. There were 2 interview rounds.
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Various metrics like Mean Squared Error, R-squared, Mean Absolute Error can be used to evaluate regression model performance.
Mean Squared Error (MSE) - measures the average of the squares of the errors or deviations
R-squared (R2) - indicates the proportion of the variance in the dependent variable that is predictable from the independent variables
Mean Absolute Error (MAE) - measures the average of the absolute errors b...
Methods like median filtering, Gaussian filtering, and wavelet denoising can be used to remove noise from an image.
Median filtering replaces each pixel's value with the median value of its neighborhood.
Gaussian filtering uses a weighted average of neighboring pixels to smooth out noise.
Wavelet denoising decomposes the image into different frequency bands and removes noise from each band separately.
Machine learning-based problem.
Various metrics like Mean Squared Error, R-squared, Mean Absolute Error can be used to evaluate regression model performance.
Mean Squared Error (MSE) - measures the average of the squares of the errors or deviations
R-squared (R2) - indicates the proportion of the variance in the dependent variable that is predictable from the independent variables
Mean Absolute Error (MAE) - measures the average of the absolute errors b...
Methods like median filtering, Gaussian filtering, and wavelet denoising can be used to remove noise from an image.
Median filtering replaces each pixel's value with the median value of its neighborhood.
Gaussian filtering uses a weighted average of neighboring pixels to smooth out noise.
Wavelet denoising decomposes the image into different frequency bands and removes noise from each band separately.
Machine learning-based problem.
posted on 19 Nov 2022
I applied via LinkedIn and was interviewed in Oct 2022. There were 3 interview rounds.
Interview experience
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