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“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
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
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