2722 search results for "gis"

Predictive analytics: Some ways to waste time

August 17, 2012
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Predictive analytics: Some ways to waste time

I am starting to take part at different competitions at kaggle and crowdanalytics. The goal of most competitions is to predict a certain outcome given some covariables.  It is a lot of fun trying out different methods like random forests, boosted ...

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Horizon Plots with plot.xts

August 17, 2012
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Horizon Plots with plot.xts

Anyone who has read 48 Industries (Dendrogram Ordered) Over 50 Years 48 Industries Since 1963 “Trend is Not Your Friend” Applied to 48 Industries Horizon Plots in Base Graphics More on Horizon Charts Application of Horizon Plots Horizon Plo...

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An update on visualizing Bayesian updating

August 17, 2012
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An update on visualizing Bayesian updating

A while ago I wrote this post with some R code to visualize the updating of a beta distribution as the outcome of Bernoulli trials are observed. The code provided a single plot of this process, with all the curves overlayed on top of one another. Then John Myles White (co-author of Machine Learning for

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plot.xts is wonderful

August 16, 2012
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plot.xts is wonderful

As mentioned in FOSS Trading post A New plot.xts yesterday “The Google Summer of Code (2012) project to extend xts has produced a very promising new plot.xts function. Michael Weylandt, the project's student, wrote R-SIG-Finance to request impressio...

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INLA: Bayes goes to Norway

August 15, 2012
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INLA: Bayes goes to Norway

INLA is not the Norwegian answer to ABBA; that would probably be a-ha. INLA is the answer to ‘Why do I have enough time to cook a three-course meal while running MCMC analyses?”. Integrated Nested Laplace Approximations (INLA) is based … Continue reading →

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What does a generalized linear model do?

August 15, 2012
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What does a generalized linear model do?

What does a generalized linear model do? R supplies a modeling function called glm() that fits generalized linear models (abbreviated as GLMs). A natural question is what does it do and what problem is it solving for you? We work some examples and place generalized linear models in context with other techniques.For predicting a categorical Related posts:

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Random and fixed effects in sensory profiling

August 14, 2012
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Random and fixed effects in sensory profiling

I am reading Introduction into mixed modelling by N.W. Galway. It is partly a repeat of things I know, but I expect to use mixed models quite a lot the coming time, so it is good to repeat these things.My problem with this book is a sensory exampl...

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The essence of a handwritten digit

August 13, 2012
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The essence of a handwritten digit

If you haven’t yet discovered the competitive machine learning site kaggle.com, please do so now. I’ll wait. Great – so, you checked it out, fell in love and have made it back. I recently downloaded the data for the getting started competition. It consists of 42000 labelled images (28×28) of hand written digits 0-9. The

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User Input using tcl/tk

August 13, 2012
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User Input using tcl/tk

I was inspired by Kay Cichini  recent post on creating a a tcl/tk dialog box for users to enter variable values. I am going to have a use for this very soon so took some time to make it a bit more generic. What I wanted is a function that takes a vector (of variable names)

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User Input using tcl/tk

August 13, 2012
By
User Input using tcl/tk

I was inspired by Kay Cichini recent post on creating a a tcl/tk dialog box for users to enter variable values. I am going to have a use for this very soon so took some time to make it a bit more generic. What I wanted is a function that takes a vector...

Read more »