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Master optimization algorithms for machine learning including gradient descent variants and advanced optimization techniques. Gradient descent fundamentals: 1. Batch gradient descent: full dataset computation, stable convergence, slow for large datasets. 2. Stochastic gradient descent (SGD): single ...