Artificial intelligence (AI) makes it possible for machines to learn from experience, adjust to new inputs and perform human-like tasks. Most AI examples that you hear about today – from chess-playing computers to self-driving cars –rely heavily on deep learning and natural language processing. Using these technologies, computers can be trained to accomplish specific tasks by processing large amounts of data and recognizing patterns in the data.
AI system is a careful process of reverse-engineering human traits and capabilities in a machine, and using it’s computational prowess to surpass what we are capable of.
Machine learning – Field of study that gives computers the ability to learn without being explicitly programmed.
Natural Language Processing (NLP) – field of artificial intelligence that helps computers to understand natural language, like speech and text.
Deep Learning is M.L technique which teaches a machine to process inputs through layers in order to classify, infer and predict the outcome.
Neural Networks work on the similar principles as of Human Neural cells, series of algorithms that captures the relationship between various underlying variables and processes the data as a human brain does.
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Chatbot – a computer program designed to simulate conversation with human users, especially over the Internet.
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