Explores data collection, feature selection, model building, and performance evaluation in machine learning, emphasizing feature engineering and model selection.
Discusses fixed-point and floating-point number representations in digital systems, highlighting their structures, advantages, and applications in computing.
Discusses fixed-point and floating-point representations in digital systems, covering key concepts like precision, accuracy, and the IEEE 754 standard.
