Course syllabus

Below are listed the course syllabi on Data Science topics.

Course Syllabi

• My first scientific paper
• Bayesian model selection
• Fundamental theorems of Machine Learning
• Mathematical forecasting
• Structure learning and forecasting
• Course syllabus: Bayesian multimodeling
• Generative deep learning
• Applied regression analysis
• Neural architecture search
• Big data analysis
• Mathematics of decision making
• Data Mining in Business Analytics