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Alex Gude

Technology, data science, machine learning, and more!

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The beginning of the file, from our validated copy saved 2026-10-24T01:06:16.252Z. Cached copy · Source on alexgude.com

# Alex Gude

> Technology, data science, machine learning, and more!

## Blog Posts
- [The Nine Must-Have Datasets for Investigating Recommender Systems](https://alexgude.com/blog/lab41-recommender-systems-datasets.md): Do you want to play around with recommender systems, but you don't have any data? Don't worry, there are tons of great, open source datasets for recommender systems!
- [Python2Vec: Word Embeddings for Source Code](https://alexgude.com/blog/lab41-python2vec.md): Parsing source code is easy; just let the interpreter do it! But what if you want to recommend code snippets? Then you need word embeddings, like my Python2Vec!
- [Double-checking FiveThirtyEight's 2016 Primary Predictions](https://alexgude.com/blog/double-checking-538.md): How well did FiveThirtyEight do in predicting the primary results? I Double-check FiveThirtyEight's Polls Plus model by comparing its predictions to the outcomes of the 2016 primaries.
- [Lab41 Reading Group: Generative Adversarial Nets](https://alexgude.com/blog/lab41-generative-adversarial-nets.md): What cost function would you use to determine if a picture looks real? How about one learned by another network! Find out more with my summary of Generative Adversarial Networks!
- [Further Double-checking FiveThirtyEight's 2016 Primary Predictions](https://alexgude.com/blog/re-double-checking-538.md): Is FiveThirtyEight's Polls Plus model biased against any candidate? I continue my double-checking their model by looking at each candidate individually.
- [Dragon Farkle: Simulating the End Game](https://alexgude.com/blog/simulating-dragon-farkle.md): How many soldiers do you need to successfully defeat the dragon in Dragon Farkle, and how likely to succeed is your attack? I find out by simulating a game of Dragon Farkle!
- [SAT2Vec: Word2Vec Versus SAT Analogies](https://alexgude.com/blog/sat2vec.md): Could Word2Vec pass the SAT analogies section and get accepted to a good college? I take a pre-trained model and find out!
- [Lab41 Reading Group: Deep Networks with Stochastic Depth](https://alexgude.com/blog/lab41-stochastic-depth.md): Dropout successfully regularizes networks by dropping nodes, but what if we went one step further? Find out how stochastic depth improves your network by dropping whole layers!
- [Lab41 Reading Group: Deep Compression](https://alexgude.com/blog/lab41-deep-compression.md): Deep learning is the future, but how can I fit a battery-drain, half-gigabyte network on my phone? You compress it! Come find out how deep compression saves space and power!
- [Lab41 Reading Group: Deep Residual Learning for Image Recognition](https://alexgude.com/blog/lab41-resnet.md): Inception, AlexNet, VGG... There are so many network architectures, which one should you be using? The one everyone else is: ResNet! Come find out how it works!
- [WhereTo.Photo: Using Data Science to Take Great Photos](https://alexgude.com/blog/whereto-photo.md): Where is the best spot to take a photo in San Francisco? Learn h
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