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David J. Harris

Expert
@davharris

Machine Learning Engineer | Data Scientist | 6+ years at Wayfair & Chewy | Specialized in using statistics and ML to solve business problems.

mcmc-tutorial. Tutorial introducing Monte Carlo integration and Markov Chain Monte Carlo

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mistnet. stochastic neural networks in R

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Davis-dissertation-template. A template for a Markdown/Pandoc template for a UC Davis PhD dissertation or Masters' thesis

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Titlebot. R

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cran_guide. Recommendations for submitting an R package to CRAN

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rosalia. Exact inference for small binary Markov networks

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mistnet2. Neural Networks with Latent Random Variables in R

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dissertation. My PhD dissertation

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geovalidation. Tools for evaluating model performance in a geographic context

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homogenization2. TeX

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Extreme-events-LDA. R

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tutoR. R

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als-prognosis. My project for the Insight Health Data Fellowship. Bayesian model for predicting the prognosis of patients with ALS.

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bbs-forecasting. Research on forecasting using Breeding Bird Survey data

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ais. Annealed importance sampling in R

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spotbot.

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leafpuppy. Python

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davharris.github.com. my home page

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Probabilistic-Programming-and-Bayesian-Methods-for-Hackers. aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

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