These fields are often confused and used interchangeably with AI.
Machine Learning: The capability of AI to learn from experience (by processing data). The process by which a natural language translation program improves itself when used more and more.
Neural Network: A method of modeling data within the discipline of AI, by stimulating the working of the human brain. Such a network is capable of machine learning (they improve with usage).
Data Science: A discipline related to collecting, managing, and analyzing data where all AI systems are dependent on data.
Robotics: The field that deals with the construction and programming of robots (computing machines having both hardware and software components).
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