## Intercausal Reasoning in Bayesian Networks

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Will Wolf
Simple intercausal reasoning on a 3-node Bayesian network.

## Bayesian Inference via Simulated Annealing

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

## RescueTime Inference via the "Poor Man's Dirichlet"

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Will Wolf
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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Will Wolf
Hand-rolled sparse autoencoders to generate novel world flags.

## Docker and Kaggle with Ernie and Bert

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Will Wolf
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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Will Wolf
Some whirling thoughts on the Trump election.

## Recurrent Neural Network Gradients, and Lessons Learned Therein

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Will Wolf
Recurrent neural network gradients by hand.

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

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

## Vanilla Neural Nets

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