VIDEO | MIT 6.036: The Perceptron Algorithm

<p>Watch the math come to life in Week 2 of MIT 6.036. We take the Perceptron algorithm out of the textbook and put it onto a 2D coordinate plane. See exactly how a decision boundary shifts, rotates, and corrects itself every time it makes a mistake, culminating in a visual breakdown of the famous Convergence Proof.</p><p><strong>Key Topics:</strong></p><ul><li><p>Animating the mathematical update rule.</p></li><li><p>Visualizing the geometric &quot;tug-of-war&quot; of misclassified points.</p></li><li><p>Transforming a 1D dataset into a 2D space to bypass offset limits.</p></li><li><p>Visual proof of the mistake bound theorem: $(R/\gamma)^2$.</p><p><strong>Disclaimer:</strong> <em>Note: This is an AI-generated discussion created using Google&#39;s NotebookLM, Gemini, and other AI tools, based on the freely and publicly available MIT 6.036 - Introduction to Machine Learning course material and personal study notes.</em></p></li></ul>