resources
- Recommended Reading
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A list of recommended papers and books on a variety of academic topics.
- Data preprocessing tutorial
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Given for an internal group meeting; contains lots of links. Focuses on topic modeling, but covers a bit for recommendation and social networks.
- Common First Names
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Generated from Social Security data. Useful for curating a topic model vocabulary.
- LibRec
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Java library for recommendation systems. Has links to relevant datasets.
- Research That Matters
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A single page to inspire significant research in applied machine learning.
- Omit Needless Words
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A single page to encourage brevity in writing.
- Quant Marketing Call for Papers
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A list of CFP maintained by Ron Berman.
- Quant Women in Marketing & Women in Machine Learning
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Directories to help you find invited speakers, etc.
- BBVI for gammas
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This document walks through black box variational inference on a very simple model that includes latent gamma-distributed variables. It includes tricks shared by Rajesh Ranganath and code so that readers can replicate the results.
- Public Datasets
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Wide range of topics including biology, finance, NLP, images, sports, ...
- Amazon Product Data
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Product reviews and metadata from Amazon, including 142.8 million reviews spanning May 1996 - July 2014.
- Log Your Shell History
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For anyone who works on the command line, please do yourself a favor and log your shell history.
- The Pomodoro Technique
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This time management method helps me maintain a consistent level of productivity.
- Paul Tol's colorblind-friendly color schemes