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This course covers neural networks from basics to advanced applications, diving into training techniques, activation functions, and multiclass classification, complemented by hands-on labs and quizzes. Week three offers strategic advice on applying machine learning, tackling bias and variance, and the machine learning development process, while the final week focuses on decision trees, learning algorithms, and tree ensembles, ensuring participants have both theoretical knowledge and practical experience.