📚 Learning

Curated repositories and workshops from my studies

📦 Repositories

🎓 School of Applied Mathematics (FGV EMAp)

• Techniques and Algorithms in Data Science
  An introduction to some of the most important ML algorithms in Data Science – regression, neural networks, decision trees, ensemble learning and unsupervised approaches.
  🔗 GitHub

• Numerical Linear Algebra
  Numerical methods for solving linear algebra problems.
  🔗 GitHub

• Data Visualization
  The fundamentals of data visualization using a variety of tools such as D3.js, Python and Power BI
  🔗 GitHub

• Machine Learning
  A more advanced and probabilistic approach to machine learning models, including mixture models and approximate bayesian inference.
  🔗 GitHub

• Deep Learning
  The mathematical foundation of neural networks, covering topics such as CNNs, LSTMs, GANs, Transformers, Transfer Learning and deep autoencoders.
  🔗 GitHub

🏛 Institute of Social and Political Studies (IESP-UERJ)

• Lego I
  An introduction to quantitative social sciences, covering the fundamentals of data analysis, research design, probability and inference.
  🔗 GitHub · 🌐 Website

• Pesquisa de Survey
  The fundamentals of survey research, including the total survey error paradigm, sampling, questionnaire design, post-stratification and topics such as non-response and likely voter models.
  🔗 GitHub · 🌐 Website

• Teoria Política I
  The fundamental problems of political theory, from classical antiquity to the period immediately prior to the revolutions of the 18th century
  🔗 GitHub · 🌐 Website

🧮 Miscellaneous

• Studying Math
  Personal notes and exercises from ongoing math reading.
  🔗 GitHub

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💡 Workshops & Training

• [July 2024] SICSS: Summer Institute in Computational Social Science
  Collaborated with international researchers on CSS projects during a two-week program at FGV.

• [July 2024] ML4Good Bootcamp
  Ten-day program on AI Safety, alignment, and responsible development.