I've been buried in work lately but thought I'd share the slides from two recent talks. The first is from the Bay Area RUG. Since someone filmed the talks, I was waiting to post the slides. The video of my t...

I'll be giving talk on Tuesday February 17 (7:00PM-9:00PM) that will be an overview of predictive modeling. It will not be highly technical and here is the current outline: "Predictive modeling" definition Some example applications A short overview and example How is this different from what statisticians already do? What can drive choice of methodology? Where should we focus our efforts? The location...

As previously mentioned, caret has two new feature selection routines based on genetic algorithms (GA) and simulated annealing (SA). The help pages for the two new functions give a detailed account of the options, syntax etc. The package already has functions to conduct feature selection using simple filters as well as recursive feature elimination (RFE). RFE...

This is the second of two posts about the performance characteristics of resampling methods. The first post focused on the cross-validation techniques and this post mostly concerns the bootstrap. Recall from the last post: we have some simulations to evaluate the precision and bias of these methods. I simulated some regression data (so that I know the real...

This is the first of two posts about the performance characteristics of resampling methods. I just had major shoulder surgery, but I've pre-seeded a few blog posts. More will come as I get better at one-handed typing. First, a review: Resampling methods, such as cross-validation (CV) and the bootstrap, can be used with predictive models to get estimates of model...

See this page. We're not done with them all but chapter 3 and 4 are there and the regression chapters are not too far behind. The Rnw files (using knitr LaTeX) are there along with the corresponding pdf files. You may have better solutions than ...

Sorry for the blogging break. I’ve got a few planned for the next few weeks based on some work I’ve been doing. In the meantime, you should check out “Do we Need Hundreds of Classifiers to Solve Real World Classification Problems?” by Manuel Fernandez-Delgado at JMLR. They took a large number of classifiers and ran them against...

My talk went well; here are the slides and a link to the paper pre-print. Hadley Wickham gave an excellent tutorial on dplyr. Based on the talk I saw, I think I will take the data sets from the book and make some public visualizations on the Plotly we...

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