Kevin is an AI engineer. He presents to senior management. He asks follow-up questions to clarify technical details.
Vocabulary:
Accuracy: How correct the AI model’s results are
Bias: Unfair preference or prejudice in data or model
Transfer learning: Using knowledge from one task to improve another
Precision: The ratio of true positive results to all positive results
Recall: The ratio of true positive results to all actual positives
Practice more with this lesson:
