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Explores logistic regression fundamentals, including cost functions, regularization, and classification boundaries, with practical examples using scikit-learn.
Discusses metastability, phase transitions, approximate message passing algorithm limitations, and the efficiency of Langevin dynamics in high-dimensional inference.
Explores solutions for business and IT alignment, traceability, regulation heuristics, the Light Aviation Market case study, Solar System evolution, system definition, and epistemological perspectives.
Explores challenges and solutions in resource-aware machine learning for IoT devices, including power analysis, classification, and dataset evaluation.
