From implementing KNN, PCA, and clustering to applying deep learning and scientific tuning, these resources show how to build, refine, and optimize machine learning models. They combine hands-on ...

Abstract: Methods for improving sensor measurement data in embedded systems based on the Kalman filter and incremental PCA algorithms (GHA, CCIPCA) are proposed. The main advantages and limitations of ...