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Featured Blog Posts – November 2013 Archive (17)

A summary on Maximum likelihood Estimator

A summary on Maximum likelihood Estimator


Why to learn MLE?

The drawback of least square estimator

A general method of building a predictive model requires least square estimation at first. Then we need work on the residuals, find the confidence interval of parameters and test how well the model fits the data which are based on the normally distributed assumption of the residuals (or noises). But unfortunately the assumption is not guaranteed. Most…


Added by Yuecai Zhu on November 28, 2013 at 8:00am — No Comments

Five announcements

1. New Hadoop Community

Data Science Central has created a new community: This is a new DSC channel. Other channels include Analytics, Big Data, and Visualization. …


Added by Vincent Granville on November 26, 2013 at 10:30pm — No Comments

Talking Turkey About Product Proliferation

This week, many of us will gather around the Thanksgiving turkey to feast and give thanks. But sometimes dinner with the extended family can feel a bit chaotic: kids running around, in-laws complaining that they don’t see enough of the grandkids, grandparents giving a litany of their aches and pains, and you’re probably thinking about work.

We’re all coming from different interests, different needs, and different concerns. As a result, communication becomes complicated because…


Added by Radhika Subramanian on November 26, 2013 at 6:11pm — No Comments

Attribution Modeling

I was once asked to perform a study for NBC. They were running advertising using a weekly mix of TV shows at various times, to promote their Internet website. I was asked to identify which TV shows worked best at driving new users to the web site. Each week, they were using pretty much the same mix of 10-12 shows out of 20 different shows. GRT data (number of eyeballs who have seen a particular TV show…


Added by Vincent Granville on November 25, 2013 at 1:30am — 1 Comment

For Smart Growth, Governments Must Leverage Data

In the spring of 2009, the White House launched the website with the goal of increasing public access to the data that various government agencies create and collect through their regular operations.

The federal government further hoped that with the release of so much data, the resources of the private sector would take hold and create the kinds of applications that would not be possible with government resources and restrictions.…


Added by Radhika Subramanian on November 21, 2013 at 12:41pm — No Comments

Don't Buy Gold Until These Three Things Happen

Almost every trading day someone asks me if they should buy gold. Personally, I own physical gold and silver bullion since 2004, but if you are trading gold ETF's' you may want to wait before jumping on board in at this time. As you all know, gold topped out in September 2011 at $1923.70 an ounce. Ironically, that same week that gold topped out it was upgraded by J.P. Morgan Chase (NYSE:JPM) to $2500.00 an ounce. Either J.P. Morgan Chase is just terrible at spotting tops or they were…


Added by Nicholas Santiago on November 21, 2013 at 11:14am — No Comments

[Book] The Simpsons And Their Mathematical Secrets

You may have watched hundreds of episodes of The Simpsons (and its sister show Futurama) without ever realizing that cleverly embedded in many plots are subtle references to mathematics, ranging from well-known equations to cutting-edge theorems and conjectures. That they exist, Simon Singh reveals, underscores the brilliance of the shows’ writers, many of whom have advanced degrees in mathematics in…


Added by Vincent Granville on November 18, 2013 at 12:00pm — No Comments

Mobile Marketing

« Mobile Marketing » is a expression defining the marketing acts which use mobile phone as a channel to reach customers and involve many specialised actors (e.g. Telecom and software companies, communication agencies) to set up these activity processes. It includes sending SMS (Short Message Service), MMS (Multimedia Message Service i.e. pictures, videos and audio files) and WAP (Wireless Application Protocol i.e. internet access via a mobile phone). 


This channel enables to…


Added by Michel Bruley on November 14, 2013 at 2:55am — No Comments

Web analytics: Obamacare website demographics

The purpose of the analysis is to answer the following question: will Obamacare ( attract enough young, not poor and healthy to pay for the poor and sick.

According to Alexa, visitors are dominated by females, with some…


Added by Vincent Granville on November 13, 2013 at 7:00pm — No Comments

Sports Analytics: Is It Only For Developed Countries?

It is a known fact that development of sports activities is not a top priority in the national budget of most of the developing countries. It can also be established that sports activities are not an active part of the eductional system of most developing countries. I’ll not be wrong if I say that the investment into sports in developed countries is much higher than in the developing countries. Given this backdrop, a natural question that comes to mind is: “Will developed countries reap all…


Added by Ashish Soni on November 13, 2013 at 3:38am — No Comments

comparative study note of Python and Java 3 - Sequence type

3. Sequence Type


This time, we compare the sequence types of the two languages. By the terminology sequence type, we mean the data structure that is kind of a sequence of data.

In Java, we have: String, array, list(arraylist and linkedlist), set;

In Python, we have: Str, tuple, list, set;

Yes, String is one of the sequence type, because it is a sequence  of char, isn’t it? About the Sting type, we only need to…


Added by Yuecai Zhu on November 10, 2013 at 12:00pm — 2 Comments

Analytics and the World of Sports: The Empirical Facts

The latest buzz words, ‘data analytics’, has swept most of the Industries, as far as I have researched, and sports industry is no exception. Just like other industries, data analytics has found wide variety of applications within the sports industry. This includes players’ performance analysis, opposition strength/weakness analysis, in-game strategy analysis and a lot more. In this article, I have tried to cover some…


Added by Ashish Soni on November 8, 2013 at 10:02pm — No Comments

Analytics In Healthcare Industry

In very simple words, the process of predicting the probability of an event using mathematical models is defined as predictive modelling. In different fields there has been a wide-spread application of predictive modelling. This is mainly for the purpose of decision making. Recently, the technological advancements have made it possible for predictive modelling to expands its reach within the healthcare sector.…


Added by Ashish Soni on November 7, 2013 at 9:45am — 1 Comment

Weekly Digest - November 11

Featured Articles


Added by Vincent Granville on November 6, 2013 at 9:00pm — No Comments

The demand for Grasstops Analytics

Leveraging grasstops (i.e. group leaders) is imperative given their highly influential position with other group members. If a grasstop can be prevented from terminating legislative (i.e. policy oriented) support, the legislative termination rate for the group members has a higher likelihood for reduction. Alternatively, attempting to get a grasstop from a competing policy issue to switch or terminate may increase likelihood of similar results with group members associated with that…


Added by Patrick C. Walker, MPA on November 4, 2013 at 12:59pm — No Comments

Where will the social data take you?

With the development of web technologies, an increasing amount of opinions are published online every day!!

People rely on the reviews more than before to help determine the quality of product in which they are interested!!

We use the chatter data from to forecast box-office revenues for movies!!

The data that is being generated on the social networks as a result of human activities is commonly referred as Social Data. This is one of the largest streams of…


Added by Ashish Soni on November 2, 2013 at 2:07am — No Comments

Predictive Analytics: Man versus Machine Competition

We would like to organize a competition where human beings compete against computers, to make predictions. The concept is simple: the brain, after all, is capable of doing raw predictions - weather predictions, stock market predictions, economic predictions, and so on. Even the tiny brain of some animals seem better than computers or the human brain, for short-term weather predictions. Human or animal brains, as…


Added by Vincent Granville on November 2, 2013 at 12:30am — 1 Comment

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