About Alexander Gude
Alexander Gude is currently a data scientist at Intuit using machine learning for fraud prevention. He holds a BA in physics from University of California, Berkeley, and a PhD in Elementary Particle Physics from University of MinnesotaTwin Cities.
Alexander Gude Posts (6)

Python Patterns: max Instead of if  10 Jan 2019
I often have to loop over a set of objects to find the one with the greatest score. You can use an if statement and a placeholder, but there are more elegant ways!

Deep Learning Reading Group: SkipThought Vectors  17 Nov 2016
Skipthought vectors take inspiration from Word2Vec skipgram and attempt to extend it to sentences, and are created using an encoderdecoder model. Read on for an overview of the paper.

Deep Learning Reading Group: Deep Residual Learning for Image Recognition  22 Sep 2016
Published in 2015, today's paper offers a new architecture for Convolution Networks, one which has since become a staple in neural network implementation. Read all about it here.

Deep Learning Reading Group: Deep Compression  15 Sep 2016
An concise overview of a paper covering three methods of compressing a neural network in order to reduce the size of the network on disk, improve performance, and decrease run time.

Deep Learning Reading Group: Deep Networks with Stochastic Depth  08 Sep 2016
An concise overview of a recent paper which introduces a new way to perturb networks during training in order to improve their performance, stochastic depth networks.

9 MustHave Datasets for Investigating Recommender Systems  11 Feb 2016
Gain some insight into a variety of useful datasets for recommender systems, including data descriptions, appropriate uses, and some practical comparison.