MACHINE LEARNING

Optimization

• Anastasopoulos (2017) - Gradient descent and stochastic gradient descent in R.

Nonparametric Bayesian Models and Learning

• Peter Orbanz  (2014) - Lecture notes on Bayesian nonparametrics and video tutorials.
• Zoubin Gharahmani (UAI, 2005) - Nonparametric Bayesian learning.
• Wasserman (2006) - All of Nonparametric Statistics (textbook).
• Ghosh and Ramamoorthi (2003) - Bayesian Non-Parametrics (advanced level textbook).
• David Blei (2012) - Topic Models. 

Naive Bayes for Text Classification

Neural Networks

• Neural Networks in TensorFlow (Johansen)

Convolutional Neural Networks

• CNNs in TensorFlow (Johansen)

Gradient Descent

Stochastic Gradient Descent

Statistics

Regression Discontinuity Designs

Spatial Modeling

Computation

Agent Based Models