This video session features the keynote speaker Professor Geoff Hinton FRS, “Deep Learning”. This lecture was filmed on May 22, 2015.
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Added by Diego Marinho de Oliveira on April 4, 2016 at 5:32am — No Comments
"Abstract Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges. We propose a novel sparsity-aware algorithm for sparse data and…Continue
AirBnB New User Bookings was a popular recruiting competition that challenged Kagglers to predict the first country where a new user would book travel. This was the first recruiting competition on Kaggle with scripts enabled. AirBnB…Continue
Added by Diego Marinho de Oliveira on March 10, 2016 at 2:30am — No Comments
Added by Diego Marinho de Oliveira on March 8, 2016 at 12:30am — No Comments
Ulla B. Mogensen, Hemant Ishwaran, Thomas A. Gerds (2012). Evaluating Random Forests for Survival Analysis Using Prediction Error Curves. Journal of Statistical Software, 50(11), 1-23.
Abstract Prediction error curves are increasingly used to assess and compare predictions in survival analysis. This article surveys the R package pec which provides a set of functions for efficient computation of prediction error…
Added by Diego Marinho de Oliveira on April 10, 2015 at 12:21am — No Comments
Machine learning algorithms are parameterized so that they can be best adapted for a given problem. A difficulty is that configuring an algorithm for a given problem can be a project in and of itself.
Like selecting ‘the best’ algorithm for a problem you cannot know before hand which algorithm parameters will be best for a problem. The best thing to do is to investigate empirically with controlled experiments.
The caret R package was designed to make finding…Continue
Added by Diego Marinho de Oliveira on April 7, 2015 at 6:41am — No Comments
Authors: Michael J. Lopez / Gregory J. Matthews.Continue
Journal of Quantitative Analysis in Sports. Volume 11, Issue 1, Pages 5–12.
Abstract Computing and machine learning advancements have led to the creation of many cutting-edge predictive algorithms, some of which have been demonstrated to provide more accurate forecasts…
Added by Diego Marinho de Oliveira on April 7, 2015 at 12:46am — No Comments