Industry-relevant training in Business, Technology, and Design
Fun games to boost memory, math, typing, and English skills
k-12, tagged with 'Artificial Intelligence, Grade 12'
Evaluating AI models is crucial for understanding their performance in real-world scenarios, including checking predictions, error rates, and ensuring fairness. Various methodologies such as confusion matrices, evaluation metrics, cross-validation, and ROC curves provide frameworks to assess model quality. These techniques not only help in selecting the best-performing models but also address issues of bias and fairness in AI applications.
Abraham
No courses available. Try selecting a different combination.