will wolf | data science things and thoughts on the world
The work for this post is contained in the following Jupyter notebook. I plan to move this blog to Pelican or Jekyll in the immediate future, at which
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title: will wolf
description: data science things and thoughts on the world
url: http://numbers.willtravellife.com/
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- <H1> Menu
- <H1> will wolf
- <H2> data science things and thoughts on the world
- <H1> Approximating Implicit Matrix Factorization with Shallow Neural Networks
- <H1> Ordered Categorical GLMs for Product Feedback Scores
- <H1> Intercausal Reasoning in Bayesian Networks
- <H1> Bayesian Inference via Simulated Annealing
- <H1> RescueTime Inference via the “Poor Man’s Dirichlet”
- <H1> Generating World Flags with Sparse Auto-Encoders
- <H1> Docker and Kaggle with Ernie and Bert
- <H1> While We Were Busy with Prosperity
- <H1> Recurrent Neural Network Gradients, and Lessons Learned Therein
- <H1> Simulating the Colombian Peace Vote: Did the “No” Really Win?
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- H1 : Menu , ( 0px from top )
- H1 : will wolf, ( 181px from top )
- H2 : data science things and thoughts on the world, ( 224px from top )
- H1 : Approximating Implicit Matrix Factorization with Shallow Neural Networks, ( 403px from top )
- H1 : Ordered Categorical GLMs for Product Feedback Scores, ( 917.1875px from top )
- H1 : Intercausal Reasoning in Bayesian Networks, ( 1415.375px from top )