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Batch Gradient Descent: The Key to Machine Learning Optimization6/8/2024 1:05:31 PM. Batch Gradient Descent is a robust and precise optimization technique that forms the backbone of many machine learning algorithms. Its ability to provide stable and deterministic updates makes it a pr
Implementing the Passive View -- a Derivative of the Model-View-Control 1/22/2012 10:47:06 PM. This article demonstrates an implementation of the "Passive View Pattern" (based on the "Model View Control Pattern") for windows user controls.
Using Genetic Algorithms to Determine Calculus Derivative Functions in C# and.NET11/27/2006 7:29:02 AM. This article describes how you can use genetic algorithms in .NET to determine derivatives of mathematical functions. The program uses an algorithm called Multiple Expression Programming (MEP) inside the genomes to exercise a function tree.

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