Here’s a list of the posts we’ve had so far:

  1. #sherlock & the power of the retweet
  2. 118 years of US State Weather Data
  3. A confused tangle
  4. A decision process for selecting statistical techniques
  5. A new home for pifreak
  6. An A to Z of extra features for the D3 force layout
  7. Animated Densities
  8. Another visualisation of 118 Years of US Weather Data
  9. Are there any good five letter dot com domains?
  10. Bayesian Business Intelligence
  11. Beautiful Hue
  12. Book Recommendations from Beyond the Grave: A Mahout Example
  13. Book Review: The Art of R Programming
  14. Box Me
  15. Buster – a new R package for bagging hierarchical clustering
  16. Clegg vs Pleb: An XKCD-esque chart
  17. Concept map for Spark and Hadoop
  18. Converting a dendrogram into a graph for a D3 force directed layout
  19. Converting an R HClust object into a D3.js Dendrogram
  20. D3 – another acronym to learn
  21. Dendrograms in R2D3
  22. Deploying your Mahout application as a webapp on Openshift
  23. Distribution for the difference between two binomially distributed random variables
  24. Do politicians sound the same? An investigation using Latent Semantic Analysis
  25. EC2 Tutorial: NumPy and SciPy
  26. EC2 Tutorials: Getting Started on Amazon Web Services
  27. EC2 Tutorials: Installing new software; yum, pip, easy_install, sudo-apt
  28. EC2 Tutorials: rJava – annoying enough to have its own blog post
  29. EC2 Tutorials: Scheduling tasks on EC2 using Crontab
  30. Excuses and Opportunities
  31. Expected switching for the Dirichlet distribution
  32. Finding neighbours in a D3 force directed layout
  33. Four weeks to launch!
  34. Freehand Diagrams with Adobe Ideas
  35. From Redshift to Hadoop and back again
  36. From Zero to D3
  37. Generating Artificial Sales Data
  38. gist: csvToPipe
  39. gist: dfToJSON
  40. gist: url parse
  41. Glasseye: bringing together markdown, d3 and the Tufte layout
  42. Google Refine: One of The Best Tools You’ve Probably Never Heard About
  43. Graphing the history of philosophy
  44. Include uncertainty in a financial model
  45. Interactive Mapping
  46. Introducing R2D3
  47. Lazy D3 on some astronomical data
  48. Mahout for R Users
  49. Making an R Package: Not as hard as you think
  50. Mapping in Minutes
  51. Modelling for decisions
  52. Multicollinearity and Ridge Regression
  53. Non overlapping labels on a ggplot scatterplot
  54. Picturing the output of a neural net
  55. Quick start Hadoop and Hive for analysts
  56. Quick start regex for analysts: Part I
  57. Quick start regex for analysts: Part II
  58. Quick start regex for analysts: Part III Cleaning up a messy dataset
  59. R: Creating a shortcut to run a gWidgets GUI
  60. R: Dealing with package updates
  61. R: Subsetting a list based on a condition
  62. R2D3 Updates
  63. Robot Marketing
  64. Scoring a Neural Net using R on AWS
  65. Searching for Christmas: How to customise your Gephi diagram with D3
  66. Some new functions I’ve discovered in R
  67. Spark and R
  68. Split down the middle – Using the polls to forecast the likelihood of Brexit
  69. The analyst’s toolbox
  70. The changing face of “Analysis”
  71. The local neighbourhood of C Major
  72. Thorstein Veblen and Hard Coding
  73. Two Quick Recipes: Ubuntu and Hadoop
  74. Using D3 to show cost, revenue and ROI
  75. Visualising cluster stability using Sankey diagrams
  76. Visualising Shrinkage
  77. Visualising The Correlation Matrix
  78. Visualising the Path of a Genetic Algorithm
  79. Voter Relationship Management
  80. Welcome to Drunks and Lampposts
  81. What are degrees of freedom?
  82. Where are all my girlfriends? Why women are under-represented in tech.
  83. Why are pirates called pirates?

Machine Learning and Analytics based in London, UK