Rise of the Machines

1. Rise of the Machines Jack Concanon

5. “A Field of study that gives computers the ability to learn without being explicitly programmed - Arthur Samuel

6. “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

7. Can Machines Think? • Can machines do what we do? • Can they pretend? • How much help do they need?

8. Why Now? http://internet-map.net

9. 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

10. Unsupervised Learning • Unclassified data • Finding hidden structures • Clustering • Data mining

11. Linear Regression Example

12. Neural Networks

13. Neural Network Visualisation

15. Example – Cat or Hat?

16. Thanks for Listening! How much data is made each minute? - http://www.visualnews.com/2012/06/19/how-much-data-created-every-minute/ What does a hidden layer do? - https://stats.stackexchange.com/questions/63152/what-does-the-hidden-layer-in-a-neural-network-compute#63163 Animating neural networks using R - http://beckmw.wordpress.com/2013/03/19/animating-neural-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/untrusted_dlcp/research.google.com/en/us/archive/unsupervised_icml2012.pdf Google research documents on machine learning - http://research.google.com/pubs/ArtificialIntelligenceandMachineLearning.html Coursera Machine Learning - https://www.coursera.org/course/ml