Synthetic Data
Artificially generated data that mimics real data, used for training machine learning models.
Artificially generated data that mimics real data, used for training machine learning models.
A statistical phenomenon where a large number of hypotheses are tested, increasing the chance of a rare event being observed.
Internet of Things (IoT) refers to a network of interconnected physical devices embedded with electronics, software, sensors, and network connectivity, enabling them to collect and exchange data.
A cognitive bias where the total probability assigned to a set of events is less than the sum of the probabilities assigned to each event individually.
A testing method that examines the code, documentation, and requirements without executing the program.
A principle that states tasks always take longer than expected, even when considering Hofstadter's Law itself.
A cognitive bias where people give greater weight to outcomes that are certain compared to those that are merely probable.
A testing method where the internal structure of the system is not known to the tester, focusing solely on input and output.
The use of biological data (e.g., fingerprints, facial recognition) for user authentication and interaction with digital systems.