
AI Techniques
AI techniques refer to the methods and algorithms used in artificial intelligence to enable machines to perform tasks that typically require human-like intelligence, such as learning, reasoning, perception, and decision-making. These techniques include machine learning, natural language processing, computer vision, expert systems, and robotics. Machine learning involves training algorithms to recognize patterns in data and make predictions or decisions based on that data. Natural language processing enables machines to understand and interpret human language, while computer vision allows machines to interpret and analyze visual information. Expert systems use knowledge and rules to make decisions and solve problems, while robotics involves the design and development of machines that can perform tasks autonomously or with minimal human intervention.
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- Aleatoric Uncertainty: Aleatoric uncertainty is a type of uncertainty that arises from the inherent randomness or variability in a system or process. In data science and artificial intelligence, aleatoric uncertainty refers to the uncertainty that cannot be reduc ... Read More >>
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