View full version: Echen
  1. Exploring LSTMs
  2. Moving Beyond CTR: Better Recommendations Through Human Evaluation
  3. Propensity Modeling, Causal Inference, and Discovering Drivers of Growth
  4. Product Insights for Airbnb
  5. Exploring LSTMs
  6. Improving Twitter Search with Real-Time Human Computation
  7. Edge Prediction in a Social Graph: My Solution to Facebook's User Recommendation Contest on Kaggle
  8. Soda vs. Pop with Twitter
  9. Infinite Mixture Models with Nonparametric Bayes and the Dirichlet Process
  10. Instant Interactive Visualization with d3 + ggplot2
  11. Movie Recommendations and More via MapReduce and Scalding
  12. Quick Introduction to ggplot2
  13. Introduction to Conditional Random Fields
  14. Winning the Netflix Prize: A Summary
  15. Stuff Harvard People Like
  16. Information Transmission in a Social Network: Dissecting the Spread of a Quora Post
  17. Introduction to Latent Dirichlet Allocation
  18. Introduction to Restricted Boltzmann Machines
  19. Topic Modeling the Sarah Palin Emails
  20. Filtering for English Tweets: Unsupervised Language Detection on Twitter
  21. Choosing a Machine Learning Classifier
  22. Kickstarter Data Analysis: Success and Pricing
  23. A Mathematical Introduction to Least Angle Regression
  24. Introduction to Cointegration and Pairs Trading
  25. Counting Clusters
  26. Hacker News Analysis
  27. Layman's Introduction to Measure Theory
  28. Layman's Introduction to Random Forests
  29. Netflix Prize Summary: Factorization Meets the Neighborhood
  30. Netflix Prize Summary: Scalable Collaborative Filtering with Jointly Derived Neighborhood Interpolation Weights
  31. Prime Numbers and the Riemann Zeta Function
  32. Topological Combinatorics and the Evasiveness Conjecture
  33. Item-to-Item Collaborative Filtering with Amazon's Recommendation System
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