Bayesian Inference via Simulated Annealing

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A toy, hand-rolled Bayesian model, optimized via simulated annealing.


RescueTime Inference via the "Poor Man's Dirichlet"

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Modeling a typical week of RescueTime data via an alternative take on the Dirichlet distribution.


Generating World Flags with Sparse Auto-Encoders

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Hand-rolled sparse autoencoders to generate novel world flags.


Docker and Kaggle with Ernie and Bert

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An introduction to what Docker is and why and how to use it for Kaggle.


While We Were Busy with Prosperity

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Some whirling thoughts on the Trump election.


Recurrent Neural Network Gradients, and Lessons Learned Therein

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Recurrent neural network gradients by hand.


Simulating the Colombian Peace Vote: Did the "No" Really Win?

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A post-mortem statistical simulation of the 2016 Colombian plebiscite.


My Open-Source Machine Learning Masters (in Casablanca, Morocco)

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A 9-month self-curated deep-dive into select topics in machine learning and distributed computing.


Vanilla Neural Nets

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A Python library for some canonical neural networks, with a self-righteous emphasis on readability.


Single Neuron Gradient Descent

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Performing gradient descent on a single neuron.


© Will Wolf 2017

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