Since they made marijuana legal in Washington state, I went to one of my favorite restaurants in Seattle, and discovered that they now use marijuana as an ingredient in their famous recipes, in particular in their smoky macarons.
It has absolutely no effect (mind altering) on me, but it also reminded me when I was young and tried a few drugs: none produced anything other than mechanical effect (increased heart beat) on me. Even…Continue
Added by Vincent Granville on March 31, 2014 at 5:00pm — No Comments
Added by Jake Drew Ph.D. on March 31, 2014 at 6:48am — No Comments
I recently added two new data analytics books from Pearson to my growing Data Science and Big Data stack:Continue
Added by Kirk Borne on March 29, 2014 at 11:15am — No Comments
First, Nate is well known not because of his previous correct predictions, but because he got hired by the Times magazine where he contributed as a…Continue
According to Paco Nathan, a data scientist should:
Posted by Robert Weiss (biostatistician) on his UCLA webpage.
UCLA is having a big data conference on Thursday and Friday Mar 27, 28 2014. The conference is organized by four computer science and genomic biology types. Speakers cluster [one of the rare appropriate uses of cluster analysis I know of] into three types of folks. Big biologists [they must be big, they're doing big data] doing big data, genomic stuff; computer scientists doing topic models, and a few math…Continue
Added by Mirko Krivanek on March 27, 2014 at 8:20pm — No Comments
Added by Vincent Granville on March 27, 2014 at 8:00pm — No Comments
This is data science from the trenches - both a case study, and a tutorial for data sciencist candidates. Here I illustrate how gut feelings, carefully selected data (rather than getting granular data), full understanding of business (horizontal knowledge), high level vision, and outsourcing (to make data science almost free) combined together, makes a data science project…Continue
Data empowers business: it gives us the information we need to make the decisions that drive enterprises, industries, and economies. Big Data enables us to collect a massive amount of information (that we can store, search, share, and analyze) to bring us closer to the goal of finding trends that lead to smarter business decisions. Big data has big impact on businesses, governments, and societies, and its impact is continuously growing. And it gets even bigger than that.
Added by Jon Rabinowitz on March 26, 2014 at 9:48pm — No Comments
The discovery process used by data scientists commonly consists of four steps (see also Figure 1):
Added by Vincent Granville on March 26, 2014 at 8:00pm — No Comments
Published in the Wall Street Journal, designed by Clarity Campaigns, but not by someone statistically savvy.…Continue
Added by Mirko Krivanek on March 26, 2014 at 7:30pm — No Comments
Published in The Economist. It shows the difference in cost-of-living between 2003 and 2013. However, I see two issues:
Added by Mirko Krivanek on March 26, 2014 at 7:00pm — No Comments
The field of data science continues to grow, and with it come thought leaders who contribute to the industry through outreach and education. Many of the data science professors teaching today are leaders in the big-data field, speaking at conferences, writing books, and even creating groundbreaking big-data developments themselves. Find out which schools boast the most influential leaders in the data science industry.Continue
With all of the discussion about Big Data these days, there is frequest reference to the 3 V’s that represent the top big data challenges: Volume, Velocity, and Variety. These 3 V’s generally refer to the size of the dataset (Volume), the rate at which data is flowing into (or out of) your systems (Velocity), and the complexity (dimensionality) of the data (Variety). Most practitioners agree that…Continue
This is a compilation has everything you need to jumpstart your skills in the core tasks of data transformation, modeling, and visualization.
tl;dr: Coursera and John Hopkins have a new course called The Data Scientist's Toolbox. https://www.coursera.org/course/datascitoolbox
Below is a list of popular analysis from Rexer's 2013 survey. The table is biased towards customer transaction, text,…
Added by Peter Higdon on March 25, 2014 at 9:01am — No Comments
Data Scientists Salary Survey shows that industry data scientists are in a sweet spot, especially in US, Canada, and Australia, with average salary $135K. European and Asian data scientists salaries are significantly lower.
Added by Vincent Granville on March 25, 2014 at 8:30am — No Comments
Added by Vincent Granville on March 21, 2014 at 10:00am — No Comments
In connection with our proposed methodology to create a black-box, automated, easy-to-interpret, sample-based, robust technique called jackknife regression, to be used in small and big data environments by non-statisticians, We offer an award and massive promotion to the successful candidate who
Added by Vincent Granville on March 20, 2014 at 7:30am — No Comments