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Python Patterns: max Instead of if
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!
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Deep Learning Reading Group: Skip-Thought Vectors
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.
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Deep Learning Reading Group: Deep Residual Learning for Image Recognition
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.
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Deep Learning Reading Group: Deep Compression
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.
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Deep Learning Reading Group: Deep Networks with Stochastic Depth
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.
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9 Must-Have Datasets for Investigating 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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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.
