Supervised Learning - An Introduction:Lectures given at the 30th Canary Islands Winter School of Astrophysics

Based on a set of lectures given at the 30th Canary Islands Winter School of Astrophysics: Big Data Analysis in Astronomy, La Laguna, Tenerife, Spain, 11/2018To a large extent, the material is taken from an MSc level course Neural Networks and Computational IntelligenceComputing Science Programme, University of GroningenThese notes present a selection of topics in the area of supervised machine learning. The focus is on the discussion of methods and algorithms for classification tasks. Regression by neural networks is discussedonly very briefly as it is in the center of complementary lectures. The same applies to concepts and methods of unsupervised learning.The selection and presentation of the material is clearly influenced by personal biasses and preferences. Nevertheless, the lectures and notes should provide a useful, albeit incomplete, overview and serve as astarting point for further exploration of the fascinating area of machine learning