"Machine learning and deep learning are both types of AI. In short, machine learning is AI that can automatically adapt with minimal human interference. Deep learning is a subset of machine learning that uses artificial neural networks to mimic the learning process of the human brain."
It is the Subset of Machine Learning which can do Specific Artificial Intelligence Tasks. Like Speech recognition , Computer Vision etc. While Machine Learning Specifically focus on numerical data, categorical data, time series data, and text data which is more relevant on small datasets.
Artificial Intelligence (AI) is a broad field focused on creating systems capable of performing tasks that typically require human intelligence. It encompasses both narrow AI, designed for specific tasks, and the hypothetical goal of achieving General AI, which would exhibit broad learning and adaptability similar to human intelligence.
Deep Learning, on the other hand, is a subset of machine learning within AI. It involves training deep neural networks with multiple layers to automatically learn hierarchical representations from data. Deep learning has been particularly successful in tasks such as image and speech recognition, leveraging complex neural network architectures to achieve impressive results.