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    <title>DEV Community: saadibraheem621-create</title>
    <description>The latest articles on DEV Community by saadibraheem621-create (@saadibraheem621create).</description>
    <link>https://dev.to/saadibraheem621create</link>
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      <title>The Mathematical Relationship Between Linear Equations, Derivatives, and AI</title>
      <dc:creator>saadibraheem621-create</dc:creator>
      <pubDate>Mon, 11 May 2026 11:09:45 +0000</pubDate>
      <link>https://dev.to/saadibraheem621create/the-mathematical-relationship-between-linear-equations-derivatives-and-ai-5090</link>
      <guid>https://dev.to/saadibraheem621create/the-mathematical-relationship-between-linear-equations-derivatives-and-ai-5090</guid>
      <description>&lt;p&gt;Most people see y = mx + c as just a simple linear equation.&lt;/p&gt;

&lt;p&gt;But inside machine learning and neural networks, this equation becomes the foundation of prediction, learning, and optimization.&lt;/p&gt;

&lt;p&gt;In this article, I’ll explain how linear equations relate to derivatives, integration, and AI systems.&lt;br&gt;
1) Linear Equation&lt;br&gt;
y = mx + c&lt;/p&gt;

&lt;p&gt;2) Derivative&lt;br&gt;
dy/dx = m&lt;/p&gt;

&lt;p&gt;3) Integration&lt;br&gt;
∫ m dx = mx + c&lt;/p&gt;

&lt;p&gt;4) Neural Network Neuron&lt;br&gt;
z = wx + b&lt;/p&gt;

&lt;p&gt;5) Weight Update&lt;br&gt;
w = w - η(dL/dw)&lt;/p&gt;

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      <category>ai</category>
      <category>machinelearning</category>
      <category>neuralnetworks</category>
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