In this short video, Simplilearn breaks down the differences between Artificial Intelligence, Machine Learning, Deep Learning, and Data Science — four closely related fields that are often confused.
- Artificial Intelligence (AI) is the broadest concept, referring to machines designed to simulate human intelligence.
- Machine Learning (ML) is a subset of AI where algorithms learn from data without being explicitly programmed.
- Deep Learning is a further subset of ML, using neural networks with many layers to process complex patterns.
- Data Science is an interdisciplinary field that uses statistics, coding, and domain knowledge to extract insights from data, often leveraging AI/ML techniques.
Each field builds on the previous one, but they serve distinct purposes in the technology landscape.