Genetic Algorithm
PaperCoursework report documenting a Genetic Algorithm solution: problem setup, encoding, selection, crossover/mutation choices, and experimental results with parameter tuning.
Introduction to Artificial Intelligence (WSI)
I gained deep insights into the field of Artificial Intelligence through hands-on implementations and practical problem-solving. The papers below document this journey and are the direct result of my coursework and exploration, covering fundamentals like Genetic Algorithms, Gradient Descent, Minimax, Neural Networks, and ID3 decision trees.
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Coursework report documenting a Genetic Algorithm solution: problem setup, encoding, selection, crossover/mutation choices, and experimental results with parameter tuning.
Coursework report focused on gradient-based optimization: objective definition, update rule, step-size considerations, convergence behavior, and practical results on a spatial search/optimization task.
Coursework report describing Minimax for deterministic two-player games: game tree search, evaluation strategy, and experiments demonstrating decision quality and search depth trade-offs.
Coursework report on Neural Networks: architecture, activation functions, backpropagation, and training evaluation on classification datasets.
Coursework report on ID3 decision trees: entropy/information gain, tree construction, and evaluation on a classification task with discussion of strengths and limitations.