I recently came across interesting articles regarding statistics and data mining. Here they are:
- Basic Errors to Avoid When Interpreting Survey Statistics: As noted by the author, “[…] not all statistics are created equal“. The articles shows the statistics interpretation issues with the case of a Mac market share press release.
- Predictive Analytics for Materials Science: George Fitzgerald explains possible application for analytics in R&D with a focus on material sciences.
- Understanding data miners: Karl Rexer provide a summary of the current situation in the data mining community: practice, software and challenge.
Enjoy the reading and don’t hesitate to share your own readings!