Ìtúmọ̀ Yorùbá
Àpẹẹrẹ tí a fi ń kọ́ àwòṣe Ìkẹ́ẹ̀kọ́ ẹ̀rọ.
Ìtúmọ̀ Gẹ̀ẹ́sì
Examples used to teach a machine learning model.
Àpẹẹrẹ
Biased training data can produce unfair predictions.
Àwọn ọ̀rọ̀ tó jọra
Àwọn ọ̀rọ̀ mìíràn nínú AI
Ọgbọ́n Àpinlẹ̀rọ
Systems that perform tasks that typically require human intelligence.
Ìṣẹ̀jẹ
Systematic skew in data or models that unfairly favors some outcomes.
Bọ́tì ìjíròrò
Software that converses with users through text or voice.
Ìríran ẹ̀rọ
AI techniques that enable computers to interpret images and video.
Igi ìpinnu
A model that splits data with if-then rules to reach a prediction.
Ìkẹ́ẹ̀kọ́ jíjinlẹ̀
Machine learning using multi-layer neural networks.