5 Game Changers for the Modern Data Warehouse

1. The Cloud
2. Software-Defined Infrastructure
3. Converged Infrastructure
4. Flash Storage
5. The Internet of Things

Eleven Things Research Pros Should Know about Sentiment Analysis

Sentiment analysis has been portrayed, variously, as a linchpin of the New MR and as snake oil that produces pseudo-insights that are little better than divination. Who’s right?

Kalman and Bayesian Filters in Python [textbook + notebooks]

Kalman Filter textbook using Ipython Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

Odds and Probability: Commonly Misused Terms in Statistics – An Illustrative Example in Baseball

Yesterday, all 15 home teams in Major League Baseball won on the same day – the first such occurrence in history. CTV News published an article written by Mike Fitzpatrick from The Associated Press that reported on this event. The article states, “Viewing every game as a 50-50 proposition independent of all others, STATS figured the odds of a home sweep on a night with a full major league schedule was 1 in 32,768.” (Emphases added)

How Predictive Analytics is Changing the Retail Industry

Moving forward, retailers will need to big data augment marketing decisions using insights gained from customer intelligence and predictive analytics. Each retailer’s data team must bring in elements from all aspects of the business, including retail experts, data geeks and predictive modelers. These key elements will set retailers up for success as we move forward into the era of big data.

Quick Redesigns of BBC Sport Graphics

Yesterday I tweeted about a confusing graphic from a BBC article dispelling myths about last season’s Premier League. Its a good article with some really interesting content but some of the accompanying graphics hindered rather than enlightened the points being made.