Title: Machine Learning of Large Astronomical Datasets
I will describe increasing efforts to apply novel machine learning algorithms (Gaussian processes, Deep Learning) to large astronomical datasets. This includes image classification, spectral analysis for quasar absorption line surveys (e.g. the damped Lya systems), and outlier detection. I will also reflect on the future advances likely to arise in the next few years as new techniques and datasets emerge.