Workshops: Topic modeling in R

I recently conducted 2 workshops on Topic Modeling with the R STM package for 2 very different student populations:

Universite Paris Est Marne la Vallee In French, for the Master in ETUDES NUMERIQUES ET INNOVATION at the Université Paris Marne La Vallée. Slides, Github

Berklee Valencia The Berklee College of Music Digital Studies MBA in Valencia

Data Science at General Assembly

GA In the summer 2016, I had the pleasure of teaching a full Data Science Curriculum at General Assembly. Over 20 sessions and 60 hours, we covered a lot of ground, a lot of topics and some of the final students projects were amazing. The slides, code and datasets are all available on github at

The course covers:

  • Statistical inference
  • Bias and variance, Learning curves and overfitting.
  • Visualization with matplotlib and plotly
  • Supervised: Regression and classification
  • Unsupervised: Clustering
  • Time series: ARMA models
  • Tree based models: Random forests and Boosted trees
  • Support Vector Machines
  • NLP: sentiment analysis, Topic Modeling, POS tagging, wordnet, …
  • Logistic regression

It was an intense curriculum!