Artificial Intelligence (AI) is reshaping how businesses extract insights from data. This course introduces the fundamentals of AI and machine learning for business analytics through two integrated pillars: coding with AI and building machine learning models. Students use AI tools in notebook environments to generate code, obtain explanations, and analyze data — making coding accessible while developing genuine analytical competency. Machine learning topics include exploratory data analysis, regression, classification, and ensemble methods applied to real business problems, along with model evaluation, bias-variance tradeoff, and regularization techniques.
SU Credits : 3.000
ECTS Credit : 10.000
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