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.
Explores evaluation protocols in machine learning, including recall, precision, accuracy, and specificity, with real-world examples like COVID-19 testing.
