Podcast Beta
Questions and Answers
Define learning in the context of Machine Learning.
Learning in the context of Machine Learning refers to the process of a computer system improving its performance on a task through experience or training data, without being explicitly programmed.
What is the significance of learning in Machine Learning?
The significance of learning in Machine Learning lies in the system's ability to adapt and improve its performance based on data, leading to more accurate predictions and insights.
How does learning contribute to the effectiveness of Machine Learning models?
Learning contributes to the effectiveness of Machine Learning models by enabling them to generalize from the training data and make accurate predictions or decisions on new, unseen data.
