LMLow – Session 2
The second session of the “Learning Machine Learning Open Workgroup” (LMLow) will take place on November 17th. at 3pm in the GIC 6th. Floor, Roxby Building (turn left out of the lift). The session will cover Regression Trees and Boosting, with an XGBoost example to show an application in research.
For session 2 there are two readings. The first is a methodological chapter, whereas the second is an application within a social science setting:
Kuhn, M., and Johnson, K. (2013). “Regression Trees and Rule-Based Models.” In: Kuhn, M., and Johnson, K. (2013). Applied Predictive Modeling. New York: Springer
Ashqar, H., Elhenawy, M., and Almannaa, M. (2017). “Modeling bike availability in a bike-sharing system using machine learning.” 2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS). pp. 374-378.
Any questions, comments or feedback, please get in touch with Dani at D.Arribas-Bel@liverpool.ac.uk.