about machine learning we are at the end of our book and now take moment to look at what else is out there that could be useful for our readers there are many wonderful resources out there to learn more about machine learning (way too much to cover them all hereour list can therefore represent only small and very biased sampling of the resources we think are best at the time of writing online courses andrew ng is professor at stanford who runs an online course in machine learning as massive open online course (moocat coursera (orgit is free of chargebut may represent significant investment of time and effort (return on investment guaranteed!books this book focused on the practical side of machine learning we did not present the thinking behind the algorithms or the theory that justifies them if you are interested in that aspect of machine learningthen we recommend pattern recognition and machine learningc bishop springer apply italics to this this is classical introductory text in the field it will teach you the nitty-gritties of most of the algorithms we used in this book