Machine Learning in Elixir

Thinking Probabilistically

Now that you understand how linear algebra helps you model data, you’re ready to learn how probability helps you think about data and make predictions from it.

A crucial aspect of modern approaches to artificial intelligence is the acceptance of probabilistic methods over logic-based approaches. Earlier generations of researchers believed the secret to creating artificial intelligence was finding enough good formal rules to capture patterns in language, speech, and other areas. Unfortunately, logic-based systems grow exponentially with the difficulty of the problem, and they don’t adapt well to chaotic systems. Modern approaches succeed because they embrace uncertainty as a rule.

There are three primary tools used ...