Category Archives: Data Science

1. Alexander D’yakonov An academic in the Faculty of Computational Mathematics and Cybernetics department at Moscow State University, Alexander modestly describes his favorite problem-solving technique as “luck.” Despite this, the 33-year-old Russian has earned a reputation for using methods known … Continue reading →

“The United States alone faces a shortage of 140,000 to 190,000 people with analytical expertise and 1.5 million managers and analysts with the skills to understand and make decisions based on the analysis of big data.” –McKinsey

The Wikipedia article on Big Data says it “requires exceptional technologies to efficiently process large quantities of data within tolerable elapsed times.” The examples given (Hadoop, MapReduce, Cloud Computing, etc.) do not include one very exceptional technology, the human brain, … Continue reading →

Asking good questions as the key to unleashing the potential of big data got significant blog time this past week.

[slideshare id=30767715&style=border: 1px solid #CCC; border-width: 1px 1px 0; margin-bottom: 5px; max-width: 100%;&sc=no] Strata preview 2014: Design thinking for dummies (data scientists) from Dean Malmgren Data scientists often face ambiguous challenges and, as a group, should use and make use … Continue reading →

Stephan Kolassa on StackExchange: I still think that Hacking Skills, Math & Statistics Knowledge and Substantive Expertise (shortened to “Programming”, “Statistics” and “Business” for legibility) are important… but I think that the role of Communication is important, too. All the insights … Continue reading →

[youtube http://www.youtube.com/watch?v=J_CYKk8q1Ao] Summary of the presentation by Ben Rooney here Update: Ben Rooney interviews DJ Patil [youtube http://www.youtube.com/watch?v=0LtzMhr0ZCM]