The new software: Less coding more data

Software like everything is evolving but it is evolving differently than I thought. When I was studying computer science at the university I thought that the future was parallelism. We were taught only one class in parallel programming. Multi-core computers were on the rise and it seemed to be the thing to learn. Since then […]

Calibration for deep learning models

Wikipedia’s definition for calibration is calibration is the comparison of measurement values delivered by a device under test with those of a calibration standard of known accuracy. Put in a context that means that the distribution of predicted probabilities is similar to the distribution observed probabilities in training data. If we rephrase it again means […]