Filtering and Sampling of SignalsExplores filtering signals with a moving average filter and the process of sampling, emphasizing the importance of signal reconstruction from samples.
Metrics for ClassificationCovers sampling, cross-validation, quantifying performance, optimal model determination, overfitting detection, and classification sensitivity.
Data Issues in ResearchExplores challenges in data assumptions, biases, and more in research, including incomplete write-ups and frustrations of newcomers.
