Benchmarking Modern GPUs for Maximum Cloud Cost Efficiency in Deep Learning

A 36% price cut to GPU instances, in addition to the potential new benefits offered by software and GPU updates, however, might be enough to tip the cost-efficiency scales back in favor of GPUs.

November 28, 2017 · 8 min

Predicting the Success of a Reddit Submission with Deep Learning and Keras

Thanks to Keras, performing deep learning on a very large number of Reddit submissions is actually pretty easy. Performing it well is a different story.

June 26, 2017 · 9 min

Pretrained Character Embeddings for Deep Learning and Automatic Text Generation

Keras + TensorFlow + Pretrained character embeddings makes text generation a breeze.

April 4, 2017 · 15 min

Predicting And Mapping Arrest Types in San Francisco with LightGBM, R, ggplot2

Given that a SF police arrest occurs at a specified time and place, what is the reason for that arrest?

February 8, 2017 · 10 min

Methods for Finding Related Reddit Subreddits with Simple Set Theory

Fancy machine learning approaches may not be required to help Redditors discover new things.

June 20, 2016 · 5 min