Yesterday, there was a meetup in Arlington on Political Campaign Data Science with a panel of four experts to talk about their work. As we have all heard, the 2012 Presidential election was steeped in data like never before, with the Obama campaign in particular using advanced analytical methods to target voters, and with Nate Silver and other polling aggregators providing fascinating insights into the dynamics of the campaign. Sasha Issenberg,…Continue
Added by Michael Walker on September 26, 2012 at 10:00am — No Comments
The goal of Data Analytics (big and small) is to get actionable insights resulting in smarter decisions and better business outcomes. How you architect business technologies and design data analytics processes to get valuable, actionable insights varies.
It is critical to design and build a data warehouse / business intelligence…
Added by Michael Walker on September 19, 2012 at 11:57am — No Comments
There are various offerings out there if you want to use machine learning in your analysis nowadays. Nick WIlson spent his internship at BigML comparing three SaaS Machine Learning Services (BigML, Prior Knowledge and Google Prediction API), with WEKA as a benchmark. He wrote a series of blog posts about his findings. In his final post he gives a summary of his work, with links to the different blog posts for details. He let me re-blog his summary here.
Added by Jos Verwoerd on September 13, 2012 at 3:37am — No Comments
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Optimization answers the question: How do we do things better? What is the…Continue
Added by Sandeep Raut on June 29, 2012 at 8:24am — No Comments
There is no question that the USA (in fact, most of the world) would be well-served with more quantitatively capable people to work in business and government. However, the current hysteria over the shortage of data scientists is overblown. To illustrate why, I am going to use an example from air travel.
On a recent trip from Santa Fe, NM to Phoenix, AZ, I tracked the various times:
Added by Neil Raden on June 27, 2012 at 10:00am — No Comments
Your firm is awash in workforce data and your team of data scientists have been charged with making sense of it and extracting meaningful insights the business can use. How do you do this? There are many different approaches to analyzing workforce data to choose from but the amount of relevant insight yielded really depends on the goals of the analysis.
If the goal is to take more of a traditional approach to workforce analytics, where the same datasets are massaged to try to squeeze…Continue
Added by Mike Kennedy on March 29, 2012 at 9:18am — No Comments
Social Media Tips for Analytics Professionals
From Text and Data Mining to Market Research and Social Media Consulting, few are more influential than today’s guests. In advance of the West Coast Text Analytics Summit (Nov. 10-11, San Jose), Text Analytics News caught up with four analytics leaders who are helping…Continue
Added by Vincent Granville on December 2, 2011 at 8:39am — No Comments