"Artificial Intelligence is the concept of creating smart intelligent machines. Machine Learning is a subset of artificial intelligence that helps you build AI-driven applications. Deep Learning is a subset of machine learning that uses vast volumes of data and complex algorithms to train a model."
Artificial Intelligence is the broader concept of creating intelligent machines, Machine Learning is a subset of Artificial Intelligence focused on algorithms that enable machines to learn from data, and Deep Learning is a specialized form of Machine Learning that uses deep neural networks to automatically learn complex hierarchical representations. Artificial Intelligence encompasses both Machine Learning and Deep Learning, and the three terms are often used in conjunction.
AI is the grand dream of intelligent machines, encompassing various approaches. Machine Learning, a subset of AI, lets machines learn from data without explicit programming. Deep Learning, under machine learning, uses complex neural networks to tackle intricate tasks like image recognition, mimicking the human brain in structure and learning. Think of it as layers: AI is the whole cake, Machine Learning a big slice, and Deep Learning a specific, powerful type of icing.
Artificial Intelligence is the broad field that encompasses the development of intelligent systems, Machine Learning is a subset of AI that focuses on learning from data, and Deep Learning is a subset of Machine Learning that uses deep neural networks to model complex patterns. Each of these areas plays a significant role in advancing the capabilities of intelligent systems and driving innovation in various domains.