ML Tools

  1. Vowpal Wabbit
  2. Theano
  3. scikit-learn
  4. Weka
  5. Oryx
  6. ml-ply
  7. ml-ease
  8. wabbit_wappa
  9. crfsuite
  10. Google’s OR Tools
  11. Github: Machine Learning Showcase
  12. NetworkX
  13. Caffe
  14. Deepdish
  15. JuliaStats
  16. Mocha.jl
  17. FacebookNN and Torch
  18. python-recsys
  19. LensKit

Courses

  1. Andrew Ng: Stanford’s Machine Learning Course
  2. Data mining with Weka
  3. Mining Massive Datasets
  4. AMP Camp
  5. Data Mining
  6. Machine Learning with Large Datasets
  7. Deep Learning for Natural Language Processing
  8. Convolutional Neural Networks for Visual Recognition

Reading Resources

  1. Predicting CTR with Online Machine Learning
  2. PDF: Simple and scalable response prediction for display advertising
  3. Kaggle: Display Advertising Challenge
  4. Vowpal Wabbit eats big data from the Criteo competition for breakfast
  5. TrueSkill™ Ranking System: Details
  6. A Course in Machine Learning
  7. Demographic Prediction Based on User’s Browsing Behavior
  8. Using your browser URL history to estimate gender
  9. Who Does What on the Web:A Large-Scale Study of Browsing Behavior
  10. Private traits and attributes are predictable from digital records of human behavior
  11. I Know What You Did Last Summer” — Query Logs and User Privacy
  12. Temporal Analytics on Big Data for Web Advertising
  13. All liaisons are dangerous when all your friends are known to us
  14. Launch Hard or Go Home!
  15. Scaling Question Answering to the Web
  16. Scaling Up All Pairs Similarity Search
  17. google-all-pairs-similarity-search
  18. OpenRefine
  19. Brute Force and Indexed Approaches to Pairwise Document Similarity Comparisons with MapReduce
  20. Pairwise Document Similarity in Large Collections with MapReduce
  21. Learning-based Entity Resolution with MapReduce
  22. Mining of Massive Datasets
  23. Coursera: Mining Massive Datasets
  24. Using Machine Learning and NodeJS to detect the gender of Instagram Users
  25. Mechanical Turk supplies Gilt with artificial artificial intelligence
  26. You Don’t Have to Be Google to Build an Artificial Brain
  27. Machine learning cheatsheet
  28. Scikit Learning Map
  29. Deep Learning Tutorial
  30. Awesome Machine Learning
  31. PDF: Mining of Massive Datasets
  32. PDF: Vowpal Wabbit 7 Tutorial
  33. Convex Optimization
  34. Parallel and Large Scale Learning with scikit-learn
  35. Machine Learning with scikit-learn
  36. Naive Bayes and Text Classification
  37. The Browsemaps: Collaborative Filtering at LinkedIn
  38. Modeling the Last Flight of MH370 with a Markov Chain Monte Carlo Method
  39. Probabilistic Programming and Bayesian Methods for Hackers
  40. Machine Learning Applications for Data Center Optimization
  41. Solution for the Search Result Relevance Challenge
  42. Featured Talk: #1 Kaggle Data Scientist Owen Zhang
  43. Online LDA with Vowpal Wabbit
  44. KAGGLE ENSEMBLING GUIDE
  45. Recurrent Neural Networks Tutorial, Part 1 – Introduction to RNNs
  46. Recurrent Neural Networks Tutorial, Part 2 – Implementing a RNN with Python, Numpy and Theano
  47. Random Forests Can Hash
  48. A Huge List of Machine Learning And Statistics Repositories
  49. Understanding Support Vector Machine Algorithm
  50. Auto-Generating Clickbait With Recurrent Neural Networks
  51. What I learned from competing against a ConvNet on ImageNet
  52. Hacker’s Guide to Neural Network
  53. A Tutorial on Deep learning Part 1
  54. A Tutorial on Deep learning Part 2
  55. A gallery of interesting IPython Notebooks

Visualization

  1. Conditional probability
  2. FlowingData