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• Supervised Learning: Supervised learning is a type of machine learning where the algorithm learns from labeled data. In supervised learning, the input and output variables are known, and the algorithm learns to map the input to the output by minimizing the erro ... Read More >>
• Functional Magnetic Resonance Imaging: Functional Magnetic Resonance Imaging (fMRI) is a non-invasive neuroimaging technique that measures changes in blood flow in the brain to detect neural activity. It works by detecting the magnetic properties of deoxygenated and oxygenated b ... Read More >>
• Self-Improvement: In the context of Data Science and Artificial Intelligence, self-improvement refers to the ability of a system to learn from its past experiences and mistakes, and to improve its performance over time. This is a key aspect of machine learni ... Read More >>