There's no shortage of great talent for companies such as Apple, Google, Intel, Facebook, Wikipedia and some exciting startups. But what if you are not one of these?
I received the following job ad in my mailbox (see below in italics), from a third-party recruiter, and it's probably for a data science position at Nike near Portland, Oregon (my guess). Basically, it's a 6-month gig to build an A/B platform.…Continue
Added by Vincent Granville on April 30, 2014 at 4:00pm — No Comments
Added by Vincent Granville on April 25, 2014 at 8:00am — No Comments
Here's an interesting piece of email my wife received today - looks like it was sent to all students at university of Washington.
Subject: Update on the Closure of the Physics and Astronomy Reading Room
As of June 13, 2014, the Physics and Astronomy Reading Room will be replaced with a new…Continue
The new content can be found here.
Added by Vincent Granville on April 23, 2014 at 2:30pm — No Comments
Here we go. Enjoy the reading!
Illustration of YARN (from first article below)
Articles from external publishers and bloggers:
Added by Vincent Granville on April 21, 2014 at 12:08pm — No Comments
Feel free to add your keywords. Here's a start:
Much has been written about customer churn - predicting who, when, and why customers will stop buying, and how (or…Continue
Added by Vincent Granville on April 17, 2014 at 4:00pm — No Comments
Added by Vincent Granville on April 17, 2014 at 3:30pm — No Comments
Should you hire someone who knows all the most recent flavors of logistic regression? Or an Hadoop developer?
In my opinion, this is the wrong strategy. These employees are very expensive (at least $120k per year), and they might not bring the ROI that you expect. At least, if going in that direction, hire someone favoring simple, scalable, robust, automated solutions over anything else. To automate, you need someone great at developing…Continue
I've heard from Wiley that our data science book had already 4,133 pre-ordered copies, which is (according to Wiley) a great start. It was published last Monday.
I invite you to check the final table of content or check out the book on…Continue
Here we go. This a a follow up to our previous 9 must-read articles. The map below illustrates the data science (route optimization) problem described in the UPS Truck article.…Continue
Added by Vincent Granville on April 10, 2014 at 12:30pm — No Comments
This is a recent, very popular article published in the FT Magazine. A similar one - Eight (No, Nine!) Problems With Big Data - was published in the New York Times. In both cases, this is an attack against big data. It features Google's failure…Continue
Added by Vincent Granville on April 10, 2014 at 9:30am — No Comments
Added by Vincent Granville on April 9, 2014 at 1:30pm — No Comments
We created a data science dictionary in 2012, and we are still adding keywords. It is also in our Wiley book (better English, recent update). Here we share with you another similar dictionary, from BigDataProjects.org.…Continue
Added by Vincent Granville on April 5, 2014 at 8:26am — No Comments
My selection of articles and resources recently posted in various news outlets - mostly from specialized publishers dealing with big data, machine learning, visualization and related topics. The picture below is from the first article.
Anyone knows the reference for this diagram? Looks like it might have been published first by Gartner. Domain expertise, the #1 success factor, is still missing in this diagram. I invite you to read my articles on "10 types of data scientists" and other references below to learn more about my unusual point of view on data science.
Added by Vincent Granville on April 3, 2014 at 11:30am — No Comments
Interesting interactive timeline featuring a number of "big data" milestones since 1932. There's way too much emphasis on BI, ERP and SAP, but still, it contains lots of interesting history when you filter out these references.
Big data, back in 1940
Here are some highlights:
Here I focus on LinkedIn and how they can monetize their groups via charging a fee for email blasts, but the same applies to Google+, Twitter, Facebook etc. In short, LinkedIn alone could generate an extra $50 million per year, thought the best implementation would probably involve LinkedIn outsourcing email blasts to a vendor such as MailChimp or VerticalResponse: it would probably mean that LinkedIn would earn only $25 million a year, the vendor would earn $25 million a year, but for…Continue