3 matching results for "tutorial":
Submitted Dec 21, 2016 to Science Courses and Tutorials This tutorial shows how to acquire earthquake waveforms from data centers. The data centers are used to provide SEED volumes for regional moment tensor inversion.
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Submitted Dec 21, 2016 to Science Videos and Lectures Presented by Iain Murray, December 15, 2015. “Monte Carlo” methods use random sampling to understand a system, estimate averages, or compute integrals. Monte Carlo methods were amongst the earliest applications run on electronic computers in the 1940s, and continue to see widespread use and research as our models and computational power grow. In the NIPS community, random sampling is widely used within optimization methods, and as a way to perform inference in probabilistic models. Here “inference” simply means obtaining multiple plausible settings of model parameters that could have led to the observed data. Obtaining a range of explanations tells us both what we can and cannot know from our data, and prevents us from making overconfident (wrong) predictions.
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Submitted Dec 21, 2016 (Edited Dec 23, 2016) to Science Videos and Lectures Presented by Google developers, six lines of Python is all it takes to write your first machine learning program! In this episode, we'll briefly introduce what machine learning is and why it's important. Then, we'll follow a recipe for supervised learning (a technique to create a classifier from examples) and code it up.
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