Here's the content. Click here to check the full table of content. The final chapter was produced on time, and the expected publication date is still by March 2014. Publisher is Wiley.…
Added by Vincent Granville on December 30, 2013 at 4:00pm — No Comments
A few data sets are accessible from our data science apprenticeship web page.
This is another provocative KDNuggets blog post: the data scientist is reduced to three circles, missing the biggest, most important one that encompasses all three of them..
My answer: This Venn diagram…Continue
Search engines (Google, Microsoft), social networks (Twitter, Facebook, LinkedIn), financial institutions, Amazon, Apple, eBay, the health care industry, engineering companies (Boeing, Intel, Oil industry), retail analytics, mobile analytics, marketing agencies, data science vendors (for instance, Pivotal, Teradata, Tableau, SAS, Alpine Labs), environment, utilities government and defense routinely hire…Continue
Added by Vincent Granville on December 29, 2013 at 11:00am — No Comments
Facebook uses an algorithm to estimate the proportion of text in an image embedded into a Facebook ad.
The algorithm works well and it is well designed (it's not an issue of bad data science per se), but it results in 50% of my ads being rejected, see sample ad and rejection notice below. This is an example where better…Continue
Added by Vincent Granville on December 25, 2013 at 5:30pm — No Comments
Want to make graphs with LaTeX? You can use Plotly and style from the APIs, your IPython NB, and the GUI at plot.ly. Any and all feedback on the beta is welcome, and your expert advice is much appreciated.
Check out these Plotly graphs using LaTeX (click through for an interactive version).…Continue
Added by Matthew Sundquist on December 25, 2013 at 11:06am — No Comments
Big Data are like your children. You should always love them whether they're naughty or nice. Both dirty data and clean data can convey important actionable information, if properly handled and modeled. Consequently, always try to follow these…Continue
Added by Kirk Borne on December 23, 2013 at 10:30am — No Comments
Added by Matthew Sundquist on December 21, 2013 at 11:51am — No Comments
At 12 years old, Capri might be the youngest data scientist hired by a tech company. So what is she working on?
First, she helps promote data science and computer science among teens. She is the future generation of tech-savvy…Continue
Added by Vincent Granville on December 20, 2013 at 3:30pm — No Comments
I need to finish the last chapter of my Data Science book by December 30. It will include
Added by Vincent Granville on December 18, 2013 at 4:00pm — No Comments
It is interesting to see what Harvard considers to be data science. They use Python in all projects / training (there's nothing wrong with that, though exposure to other languages - R, Stata, SQL - would be great, in top of Python). It is too traditional, and too heavy in statistics in particular. I did not see anything about machine-to-machine communications (e.g. keyword bidding), processing real time data, the…Continue
Visualization continues to mature and focus more on the data first than on novel designs and size. People improved on existing forms and got better at analysis. Readerships seemed to be more ready and eager to explore more data at a time. Fewer spam graphics landed in my inbox.
So all in all, 2013 was a pretty good year for…Continue
Added by Vincent Granville on December 18, 2013 at 10:30am — No Comments
Disruptive technologies may be seen as an opportunity or a threat, depending on one’s role within an enterprise; fortunately, the positivity of perspective easily becomes a choice when CIOs and CMOs are able to step back to take a look at the bigger picture and determine to collaborate in the interest of the organization as a whole.
The term “disruptive” is rather loaded, however, and may be counterintuitive to those who do not understand its full implications. By definition, a…Continue
Added by Ilan Hertz on December 17, 2013 at 9:11pm — No Comments
Since the inception of human being information in any shape is utilized by us.For quite a while organizations have been using the data to make informed decisions. In a sense Analytics is just a buzz word that is taken as the application to this decision making process. let's suppose you're in the professional education profession, you might be an instructor with a Big Data solution provider, internally, or you might be an instructor to teach client organizations staff. You might be a Big…Continue
Added by Atif Farid Mohammad on December 16, 2013 at 10:13am — No Comments
Added by Michael Walker on December 16, 2013 at 9:30am — No Comments
By: Nicholas Hartman, Director at CKM Advisors
Today we'd like to share with you some fun charts that have come out of our internal linguistics research efforts. Specifically, studying weather events by analyzing social media traffic from Twitter.
We do not specialize in social media and most of our data analytics work focuses on the…Continue
Added by Nicholas Hartman on December 15, 2013 at 7:24pm — No Comments
By: Nicholas Hartman, Director at CKM Advisors
This is a re-print of a post from ckmadvisors.com. The original post is available here.
Whenever I introduce the data analytics we do here at CKM, an ever increasing percentage of people will respond along the lines of “So like Hadoop / NoSQL / [insert generic ‘big data’ term]?”…Continue
Added by Nicholas Hartman on December 13, 2013 at 6:44am — No Comments
It all started as a little data science project, possibly a job interview question for applicants: How would you compute the number of entries on Wikipedia.
The idea was to use large…Continue