How was bayes’ theorem useful in a machine learning context?
Answer Posted / Vaibhav Kumar
Bayes' theorem is a probabilistic method used to update the probability for a hypothesis as more evidence or information becomes available. In machine learning, it is used for classification and prediction problems, particularly in Bayesian networks and Naive Bayes classifiers. These methods allow the model to learn from prior knowledge and adjust its predictions based on new data, improving overall accuracy.
| Is This Answer Correct ? | 0 Yes | 0 No |
Post New Answer View All Answers