Intelligent Systems


Intelligent Systems refer to computer systems that are capable of performing tasks that normally require human-level intelligence, such as perception, reasoning, learning, decision-making, and natural language processing. These systems are designed to learn from data, adapt to new situations, and improve their performance over time. Intelligent Systems are built using a combination of techniques from Artificial Intelligence, Machine Learning, and Data Science, including neural networks, deep learning, natural language processing, computer vision, and expert systems. They are used in a wide range of applications, such as autonomous vehicles, speech recognition, fraud detection, recommendation systems, and medical diagnosis.


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  • Conceptual Model: A conceptual model is a representation of a system or process that is used to help understand, analyze, and communicate the system or process. In data science and artificial intelligence, a conceptual model is often used to represent the re ... Read More >>
  • HDMR: High Dimensional Model Representation (HDMR) is a mathematical technique used in Data Science to represent complex models in a simpler form. It decomposes a high-dimensional function into a sum of lower-dimensional functions, where each fun ... Read More >>
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