Introduction to Quantum Computing
Naïve Bayes
Bayes' theorem "describes the probability of an event, based on prior knowledge of conditions that might be related to the event". "The theorem expresses how a degree of belief, expressed as a probability, should rationally change to account for the availability of related evidence."
Thus, Bayes' theorem details ways of finding a conditional probability when certain other probabilities are known.
- Informativeness: the modifier's distance to 1; the farther away it is from 1, the more it changes the probability;
References:
- Hands-On Quantum Machine Learning With Python: Volume 1: Get Started, 05/19/2021, Frank Zickert:
https://www.pyqml.com/ - Bayes Theorem:
https://en.wikipedia.org/wiki/Bayes%27_theorem - Basic Qiskit Syntax:
https://qiskit.org/textbook/ch-appendix/qiskit.html - Learn in Qiskit:
https://qiskit.org/learn/ - Qiskit:
https://qiskit.org - Qiskit Documentation:
https://qiskit.org/documentation/index.html