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Contributors: Brian Do, Esteban Mejia, Darren Mei, Wesley Guo, Minh Duc

Summary of Changes:

  • Added introduction summarizing two main lecture topics
  • Added Recursive Split-and-Merge Algorithm pseudocode example
  • Added RANSAC graphic illustration and improved upon RANSAC explanation
  • Various 1-2 sentence changes to the machine learning section adding additional information
  • Clarified the difference between stochastic gradient descent, mini-batch gradient descent, regular gradient descent
  • Added the "template" images reconstructed from the weights of the CIFAR-10 trained linear classifier (shown in lecture)
  • Included figure showing Histogram of Oriented Gradients example

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