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Blog Posts

Big data for asset managers

Posted by Jeffrey Ng on September 25, 2014 at 8:15am

Tax engineering for the upper middle class

Posted by Amy on September 4, 2014 at 3:30pm — 1 Comment

Tell me… how ugly is your bad data?

Posted by Scott Mongeau on August 15, 2014 at 1:30am

Network analytics: more than pretty pictures

Posted by Scott Mongeau on August 15, 2014 at 1:30am

Data Science - Where is it headed?

Posted by Amogh Borkar on August 13, 2014 at 1:32am

Assessing Model Accuracy - Part 2

Posted by suresh kumar Gorakala on August 5, 2014 at 6:24am

Assessing Model Accuracy: Part 1

Posted by suresh kumar Gorakala on August 5, 2014 at 6:00am

How Much Data Will You Have in 3 Years?

Posted by Elana Roth on July 31, 2014 at 4:30am

Search Analyticbridge


Some Machine Learning algorithms that you should always have a strong understanding of, and why?

We studied university curricula (from computer science, stats and business schools). The top contenders are linear programming, regression, clustering, Neural networks and SVM.Then we looked at the peer groups. Obviously, the top 10 algos are…Continue

Tags: mining, k-means, CART, kaggle, algorithms

Started by Sai Reddy in Data Mining Software Sep 22.

Web traffic statistics from competitors - which vendor do you trust? 1 Reply,,, all provide web site statistics about the top 1 million web domains or so, but they have the following drawbacks:Alexa has recently started to provide highly bogus numbers - many websites…Continue

Started by Amy in Data Mining Software. Last reply by Carla Gentry Sep 19.

Coolest things that have been done by statisticians, data scientists, or machine learning experts.

Obviously, there are some wonderful problems solved by data scientists. However, I love the below problems which are worked on and believe they are the best · Detecting sarcasm in speech · Identify every fraudulent medicine administration amongst…Continue

Tags: education, guidance, case, studies, dataanalytics

Started by Sai Reddy in Data Mining Software Sep 11.

How to develop churn prediction tool for mobile telecommunication using data mining evolutionary algorithm

I am trying to develop a tool for churn prediction for mobile telecommunicationMy project is divided in four phasesphase 1)user interface which is divided in the following componentsa)Start pageThe start page essentially consists of two buttons•…Continue

Started by Mansi Shah in Business Analytics Sep 10.


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