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Explore various methods for optimizing machine learning models and learn how to adjust hyper-parameters to minimize the cost function in this 31-minute video. Delve into key concepts including loss functions, gradient descent, learning rates, and their limitations. Discover the advantages of stochastic gradient descent and witness a practical demonstration. Gain valuable insights into optimization techniques that can enhance the performance of your machine learning models.
