capstone project presentation

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This presentation provides a comprehensive overview of a capstone project focused on machine learning, beginning with an introduction to its basics and the significance of optimisation techniques. Key topics include Bayesian methods for risk minimisation, gradient descent, and advanced optimisation algorithms like SGD, Adam, and AdamW, with applications in predictive modelling. Insights are drawn from a Python-based methodology, showcasing results and implications in the field. The conclusion...