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• Normal Forms: Normal Forms are a set of guidelines used in database design to ensure data is organized efficiently and without redundancy. The higher the normal form, the more strict the guidelines are. The first normal form (1NF) requires that each colu ... Read More >>
• Nyquist-Shannon Sampling Theorem: The Nyquist-Shannon Sampling Theorem, also known as the Sampling Theorem, states that in order to accurately reconstruct a continuous signal from its samples, the sampling rate must be at least twice the highest frequency component present ... Read More >>
• Kernel Functions: In data science and machine learning, kernel functions are mathematical functions that transform data into a higher-dimensional space, allowing for more complex analysis and classification. They are commonly used in support vector machines ... Read More >>