What term is used to describe the smaller granular detail within machine learning?
Deep Learning
Explanation
Deep Learning (DL) is a specialized subset of Machine Learning (ML) that uses deep neural networks with multiple layers to learn complex patterns from large amounts of data.
a) Artificial Intelligence – The broad field encompassing ML and DL.
b) Deep Learning – . It is a more specialized and granular branch within Machine Learning.
c) Supervised Learning – A learning method within Machine Learning, not the smaller granular field itself.
d) Feature Engineering – The process of selecting or creating input features for ML models.
Deep learning because it represents a specific approach within machine learning that focuses on using neural networks with many layers to process data in complex ways. This aligns with learning about the detailed aspects of machine learning, showcasing how deep learning contributes to advancements in Al.
