Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it 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.