Dr. James McCaffrey of Microsoft Research uses Python code samples and screenshots to explain naive Bayes classification, a machine learning technique used to predict the class of an item based on two ...

Bayes' theorem in essence states that the probability of a given hypothesis depends both on the current data and prior knowledge.

The decisions we make in life often come down to Bayes’ Theorem, but most of us don’t even realise what it is. So how does it work?

Bayes' theorem can be applied to such inverse probability problems iteratively—when we need to update probabilities step by step as we gain evidence.

What is Bayes's theorem, and how can it be used to assign probabilities to questions such as the existence of God? What scientific value does it have?

All you need to know about Bayes' theorem and how it's used to evaluate the probability that financial scenarios will occur.