Artificial intelligence (AI) refers to the ability of a computer system to perform tasks that require human intelligence, like learning, understanding, reasoning, problem-solving, and understanding graphs and pictures. AI aims to create systems that operate autonomously, learn, get more precise, and make decisions in a way similar to human intelligence.

Machine learning is a subset of AI. We humans learn through experience. In machine learning, computer systems train themselves from large amounts of data. They analyze that data, look for patterns, and make their own decisions or predictions based on that. All this with step-by-step minimal human intervention. And we humans are already using machine learning without even realizing it. Is your telephone listening and asking questions, providing answers? Is your Apple Watch with SIRI interfering in a conversation, even telling you what you said isn't correct? Is the spam also automatically filtered out of your emails? Right, it’s done through machine learning.

Deep learning is a form of machine learning that uses deep neural networks. These networks can trace very complex patterns in large datasets. Compare it to the neural structures of the human brain. Deep learning is particularly effective for tasks that involve large amounts of complex data, for instance, image classification, image generation, facial recognition, speech recognition, and others. Recently, it has become popular to generate images with AI and use different chatbots that answer your questions. Those cases are practical applications of deep learning.