Approximating Implicit Matrix Factorization with Shallow Neural Networks
April 7, 2017
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Will Wolf
In this post, we look to beat the performance of Implicit Matrix Factorization on a recommendation task using 5 different neural network architectures.

Intercausal Reasoning in Bayesian Networks
March 13, 2017
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Will Wolf
Simple intercausal reasoning on a 3-node Bayesian network.

Bayesian Inference via Simulated Annealing
February 7, 2017
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Will Wolf
A toy, hand-rolled Bayesian model, optimized via simulated annealing.

RescueTime Inference via the "Poor Man's Dirichlet"
February 3, 2017
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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
December 13, 2016
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Will Wolf
Hand-rolled sparse autoencoders to generate novel world flags.

Docker and Kaggle with Ernie and Bert
November 22, 2016
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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
November 10, 2016
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Will Wolf
Some whirling thoughts on the Trump election.

Recurrent Neural Network Gradients, and Lessons Learned Therein
October 18, 2016
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Will Wolf
Recurrent neural network gradients by hand.