What is the most essential basis for a machine to learn in Artificial Intelligence?
Answer and explanation
Correct answer: Correct and relevant data
Machine-learning systems learn relationships and patterns from examples or data. Correct and relevant data gives the model information connected to the task, allowing it to learn useful relationships and produce better outputs. Attractive colours or a large room do not provide learning evidence, and decisions without examples do not support data-based learning.
Frequently asked questions
What is the correct answer to this question?
Correct and relevant data
Why is this the correct answer?
Machine-learning systems learn relationships and patterns from examples or data. Correct and relevant data gives the model information connected to the task, allowing it to learn useful relationships and produce better outputs. Attractive colours or a large room do not provide learning evidence, and decisions without examples do not support data-based learning.
Which subject and chapter does this question cover?
This is a Class 9 Artificial Intelligence question. Chapter: Data Literacy. Topic: Basics of data literacy and its importance.
