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Course syllabus

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Below are listed the course syllabi on Data Science topics.

Course Syllabi

  1. Human-computer interfaces
  2. My first scientific paper
  3. Bayesian model selection
  4. Fundamental theorems of Machine Learning
  5. Mathematical forecasting
  6. Structure learning and forecasting
  7. Bayesian multimodeling
  8. Introduction to Machine Learning
  9. Machine Learning
  10. Generative deep learning
  11. Applied regression analysis
  12. Neural architecture search
  13. Big data analysis
  14. Mathematics of decision making
  15. Data Mining in Business Analytics
  16. Category theory for Machine Learning
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