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Mini-Path to Data Science

Description: a self-paced curriculum on machine learning inspired by my own undergraduate journey in Computer Science.

Requisites: basic programming skills, mathematical maturity (college level), a questioning mindset, tolerance for typos, passion for learning

Recomended: MATLAB / Python, creating figures, experience playing an instrument

  1. Intro to data science
  2. Intro to music theory
  3. Intro to scientific Python
  4. Intro to algorithms
  5. Intro to data engineering
  6. Intro to affective computing
  7. Intro to recommender algorithms
  8. Intro to machine learning
  9. Advanced Algorithms
  10. Advanced Machine Learning