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Rise of the Machines Jack Concanon “A Field of study that gives computers the ability to learn without being explicitly programmed - Arthur Samuel “A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E - Tom M. Mitchell Can Machines Think? Can machines do what we do? Can they pretend? How much help do they need? Why Now? http://internet-map.net Supervised Learning Requires labelled training examples Function approximation Based on an input vector you should receive an expected output Linear regression is the simplest Line of best fit is a valid tool for prediction Unsupervised Learning Unclassified data Finding hidden structures Clustering Data mining Linear Regression Example Neural Networks Neural Network Visualisation Example – Cat or Hat? Thanks for Listening! • • • • • • How much data is made each minute? http://www.visualnews.com/2012/06/19/how-muchdata-created-every-minute/ What does a hidden layer do? https://stats.stackexchange.com/questions/63152/whatdoes-the-hidden-layer-in-a-neural-networkcompute#63163 Animating neural networks using R http://beckmw.wordpress.com/2013/03/19/animatingneural-networks-from-the-nnet-package/ Google research document on identifying high level features from images of humans and cats – https://static.googleusercontent.com/external_content/un trusted_dlcp/research.google.com/en/us/archive/unsuper vised_icml2012.pdf Google research documents on machine learning http://research.google.com/pubs/ArtificialIntelligencean dMachineLearning.html Coursera Machine Learning https://www.coursera.org/course/ml