This applies to data science research as well as any other analytic discipline. For centuries, scientific research was performed in Academia, by university professors managing their own labs. Much of the research was carried out by young scientists who just completed their PhD. The selection process has always favored the same type of personality. The basic rule is "publish or perish" which produces the following drawbacks:
Added by Vincent Granville on December 29, 2014 at 7:00pm — 13 Comments
Most statisticians are great professionals, working on various data-intensive projects, and they don't care about their job title. You can say the same about data scientists, and me in particular. However, there is a small cluster of statisticians - Andrew Gelman seems to be their leader and their only influencer - who have been challenging us, even publicly insulting us recently.…
ContinueAdded by Vincent Granville on December 28, 2014 at 9:00pm — 10 Comments
To be more precise, this kind of attack would rely on business hacking, rather than computer hacking. Other attacks, some potentially as massive as to turn Google into the worst search engine, are described below.
The Sony attack
I believe that such an attack could be accomplished by an insider…
ContinueAdded by Vincent Granville on December 28, 2014 at 4:00pm — 1 Comment
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. Articles marked with a + have interesting visualizations.
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ContinueAdded by Vincent Granville on December 24, 2014 at 11:00am — No Comments
Every data scientist worth her salt will immediately notice that the biggest Earthquakes (magnitude above 9) took place in the last 60 years or so.
Most journalists, and even some…
ContinueAdded by Vincent Granville on December 23, 2014 at 11:30am — 1 Comment
Given the right data being correctly collected, and analyzed using sound predictive models, what can be predicted, and what can't be predicted no matter what?
I believe that I have an answer to this question. All systems and processes that rely on some energy source can be predicted, and the other way around. Note that energy…
ContinueAdded by Vincent Granville on December 21, 2014 at 8:00pm — 1 Comment
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. Articles marked with a + have interesting visualizations.
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ContinueAdded by Vincent Granville on December 17, 2014 at 7:30pm — No Comments
Guest blog past by Rohit Yadav, from BRIDGEi2i Analytics Solution
The Net (Part 1)
The plot goes something like this – Sandra Bullock plays a computer expert Angela Benett, her life changes when she is sent a program with a crazy glitch to ‘de-bug’. Soon she finds out some vital government information on the disk, things gets nutty as fruitcake, her life becomes a nightmare with her records getting erased and she is given a new identity of some chick with a…
ContinueAdded by Vincent Granville on December 16, 2014 at 7:30pm — 2 Comments
The definition of 'best' depends on which school you follow. Data science and classic statistical science are at the opposite ends of the spectrum. So let's clarify what 'best solution' means in these two opposite contexts:
'Best', according to statistical science:
Added by Vincent Granville on December 14, 2014 at 8:30pm — 8 Comments
Guest blog post by Bernard Marr, first published here.
The field of Big Data requires more clarity and I am a big fan of simple explanations. This is why I have attempted to provide simple explanations for some of the most important technologies and terms you will come across if you’re looking at getting into big…
ContinueAdded by Vincent Granville on December 12, 2014 at 12:00pm — 6 Comments
These predictions were published by the International Institute for Analytics (IIA). They produced a nice infographics, featured below, and re-tweeted many times by various bloggers, using the hash tag #2015Analytics. Other interesting predictions include…
ContinueAdded by Vincent Granville on December 12, 2014 at 10:30am — No Comments
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. Articles marked with a + have interesting visualizations.
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ContinueAdded by Vincent Granville on December 9, 2014 at 9:30pm — No Comments
The purpose of this article is to clarify a few misconceptions about data and statistical science.
I will start with a controversial statement: data science barely uses statistical science and techniques. The truth is actually more nuanced, as explained below.
1. Data science heavily uses new statistical…
ContinueAdded by Vincent Granville on December 8, 2014 at 5:00pm — 15 Comments
Here I compare these 5 rules published in 1999, with the new 2014 version. Data has changed so much that the opposite rules are now followed. Yet many statisticians and big businesses still stick to the outdated rules.
These rules were initially published in the featured book (see picture) first published in 1999, when software (e.g. SPSS) could not adapt to…
ContinueAdded by Vincent Granville on December 7, 2014 at 4:00pm — 1 Comment
The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday.
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ContinueAdded by Vincent Granville on December 3, 2014 at 9:30am — No Comments
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