Alexander Gude

Intuit

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 Minnesota-Twin Cities.

Python Patterns: max Instead of if

By Alexander Gude, Intuit on January 10, 2019 in Programming, Python
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: Skip-Thought Vectors

By Alexander Gude, Intuit on November 17, 2016 in Deep Learning, Lab41, Natural Language Processing, Neural Networks, word2vec
Skip-thought vectors take inspiration from Word2Vec skip-gram and attempt to extend it to sentences, and are created using an encoder-decoder model. Read on for an overview of the paper.
Deep Learning Reading Group: Deep Residual Learning for Image Recognition

By Alexander Gude, Intuit on September 22, 2016 in Academics, Convolutional Neural Networks, Deep Learning, Image Recognition, Lab41, Machine Learning, Neural Networks
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 Networks with Stochastic Depth

By Alexander Gude, Intuit on September 8, 2016 in Academics, Deep Learning, Lab41, Neural Networks
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 Must-Have Datasets for Investigating Recommender Systems

By Alexander Gude, Intuit on February 11, 2016 in Datasets, Lab41, Recommender Systems
Gain some insight into a variety of useful datasets for recommender systems, including data descriptions, appropriate uses, and some practical comparison.

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