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This track aimed to provide participants with the necessary background -- particularly for those who are new to the theory and fundamentals of modern ML.

The MLx Health module builds on core ML fundamentals to explore advanced probabilistic and representation learning, graph and geometric deep learning, computer vision, knowledge-aware and neuro-symbolic AI, along with applied sessions across healthcare domains—from EHR and imaging to genomics, disease modelling, drug discovery, and real-world ML deployment.

The MLx Finance module builds on ML fundamentals to dive into advanced probabilistic and representation learning, NLP and large language models, reinforcement learning, knowledge-aware and neuro-symbolic AI, alongside applied sessions on financial time series, market simulation, trading, insurance, ESG, and deploying ML in real-world financial systems.

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