Machine learning in Astronomy. Talk covers the basics of machine learning including decision trees, random forests, and neural networks. Talk contextualises these with a case study in planet detection from a library of observations.
Useful links for further reading:
Random Forest original paper: https://www.stat.berkeley.edu/~breiman/randomforest2001.pdf
Machine learning review: LeCun, Bengio, & Hinton, Nature volume 521, pages 436–444 (28 May 2015)
Online course for machine learning: https://www.coursera.org/learn/machine-learning