ivanovitchm/ppgeec_machinelearning_plus
This is a repository for a machine learning supplementary course to EEC1509, which is a graduate course offered by PPgEEC/UFRN.
This project provides practical exercises and guidance for applying advanced machine learning, especially generative AI, in various scenarios. It helps you learn to use tools like the OpenAI API for tasks such as building recommendation systems, integrating external data like PDFs, and generating images. The content is designed for graduate students or professionals looking to deepen their understanding of machine learning applications and AI model development.
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Use this if you are a graduate student or practitioner in electrical and computer engineering, or a related field, seeking hands-on experience with modern AI tools like OpenAI for real-world problem-solving.
Not ideal if you are looking for a basic introduction to programming or foundational machine learning concepts, as this material assumes prior knowledge.
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Apr 28, 2023
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