November 2014 Blog Posts (49)

22 tips for better data science

These tips are provided by Dr Granville, who brings 20 years of varied data-intensive experience working with successful start-ups, small companies across various industries, and eBay, Visa, Microsoft, GE and Wells Fargo.

  1. Leverage external data sources:…

Added by Vincent Granville on November 8, 2014 at 8:00pm — 5 Comments

The growth of data science over the last two years: 300%

A few websites catering to analytics and data science professionals have experienced tremendous growth recently. Organizations such as INFORMS or AMSTAT have seen their traffic explode, targeting high school students to join the ranks of data scientists. Niche publishers providing high quality, actionable content - and run by true data scientists rather than journalists - have also seen spectacular growth.…


Added by Vincent Granville on November 8, 2014 at 3:00pm — 1 Comment

True Freedom - Algorithmic Man Unplugged

Thermometers and scales to measure weight appeared in retail outlets long ago. Blood pressure monitors perhaps came later. Pedometers and heart-rate monitors seem more recent - possibly closer to my time. I saw several devices while doing this blog intended to electronically record among other things hours of sleep; these are designed to be worn on the body all the time. A couple of weeks ago, I bought something to give the heart rate and blood oxygen saturation level. I consider it a real…


Added by Don Philip Faithful on November 8, 2014 at 9:18am — No Comments

Weekly Digest - November 10

The full version is always published Monday. Starred articles or sections are new additions or updated content, posted between Thursday and Sunday. 

Sponsored Announcement

Just as information is the lifeblood of healthcare, data science is at the heart of the 100 percent online Master of Science degree in Health Informatics at the College…


Added by Vincent Granville on November 5, 2014 at 4:00pm — No Comments

Choosing a classifier for predictions

One of the biggest decisions that a data scientist need to make during a predictive modeling exercise is to choose the right classifier.There is no best classifier for all problems. The accuracy of the classifier varies based on the data set. Correlation between the predictor variables and the outcome is a key influencer. The choice need to be made based on experimentation. There are two main selection criteria here.

Accuracy:  While accuracy of the…


Added by Kumaran Ponnambalam on November 4, 2014 at 6:08pm — No Comments

Start with Good Science on Good Data, Then we'll Talk 'Big Data'

We are currently witnessing a land rush of investment in Big Data architectures promising companies that they can turn their data into gold using the latest in distributed computing and advanced analytical methods. Although there is indeed much potential in applying machine learning and statistical analysis to largedatasets, many companies…


Added by Sean McClure on November 3, 2014 at 6:46am — 3 Comments

Big Data Problem: Could Fake Reviews Kill Amazon?

Adversarial analytics and business hacking: Amazon case study.

Chances are that you might have purchased a book, or visited a restaurant, as a result of reading fake reviews. The problem impacts companies such as Amazon and Yelp, while on Facebook, massive disinformation campaigns are funded by political money, hitting thousands of profiles and managed by public relation companies: they create fake profiles and try to become friends with influencers. Here the focus is…


Added by Vincent Granville on November 2, 2014 at 7:30pm — 7 Comments

Data Science for Improved Democracy

The current (November 2014) United States election reminds us that sophisticated data science techniques are employed on the public in attempt to influence opinion and persuade votes. The slick television advertising, debate prevarications, and policy position distortions and exaggerations have soured many citizens on the current state of modern democracy. Indeed, most feel we are not getting the straight scoop - the…


Added by Michael Walker on November 2, 2014 at 10:30am — 2 Comments

Data Science: Paving the Way For More Open, Interactive Data Analysis

Guest blog post by Gemma. Gemma can be reached at [email protected].
Data science is still, in many ways, the new kid on the block. In fact, there is often a fair amount of confusion as to what…

Added by Vincent Granville on November 1, 2014 at 8:00am — No Comments

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