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Delves into the application of artificial intelligence in finance, exploring tools like neural networks and Bayesian techniques, successful use cases in fraud detection and robo-advisors, and the importance of interpretability in machine learning models.
Explores environmental impact study procedures, actors, decision-making, and project assessments, emphasizing the importance of clear presentations and protective measures.
Explores legal obligations and ethical considerations in data processing and AI, covering consumer credit, data protection, and automated decision-making.
