Featured Blog Posts – December 2017 Archive (69)

The 7 Most Important Data Mining Techniques

Data mining is the process of looking at large banks of information to generate new information. Intuitively, you might think that data “mining” refers to the extraction of new data, but this isn’t the case; instead, data mining is about extrapolating patterns and new knowledge from the data you’ve already collected.

Relying on techniques and technologies from the intersection of database management, statistics, and machine learning, specialists in data mining have dedicated their…


Added by Larry Alton on December 22, 2017 at 7:30am — No Comments

Book: Predictive Modeling and Optimization Methods in Science and Engineering

Our edited book entitled as "Predictive Modeling and Optimization Methods in Science and Engineering ", IGI Global (Editors: Dookie Kim- South Korea, Sanjiban Sekhar Roy -India,Tim Länsivaara -Finland, Ravinesh Deo-Australia,Pijush Samui-India) will be available online very soon.Hope this book will help research scholar and machine learning enthusiasts working on predictive models.

To contribute a chapter, click …


Added by Sanjiban Sekhar Roy on December 21, 2017 at 9:00pm — No Comments

Wish Christmas with R

This post is dedicated to all the R Lovers...Flaunt your knowledge of R programming in your peer group with the following code.

Wish Christmas with…

Added by Deepanshu Bhalla on December 21, 2017 at 8:30am — 1 Comment

Market Mix Modeling (MMM)

Market Mix Modeling (MMM) is a technique which helps in quantifying the impact of several marketing inputs on sales or Market Share. The purpose of using MMM is to understand how much each marketing input contributes to sales, and how much to spend on each marketing input.

MMM helps in the ascertaining the effectiveness of each marketing input in terms of…


Added by Ridhima Kumar on December 20, 2017 at 8:30pm — No Comments

Standard Error of the Regression vs. R-squared

This article was written by Jim Frost.

The standard error of the regression (S) and R-squared are two key goodness-of-fit measures for regression analysis. While R-squared is the most well-known amongst the goodness-of-fit statistics, I think it is a bit over-hyped.…


Added by Amelia Matteson on December 20, 2017 at 1:30pm — 1 Comment

Understanding Behavioral Economics to Change Behaviors with Big Data

My good friend Vinnie participates in an automobile insurance program that rewards him for good driving behaviors; the better driving behaviors he exhibits, the more money he saves on insurance. You stick a device into the vehicle’s diagnostic port (usually under the steering wheel in most vehicles manufactured after 1996), and the automobile insurance company tracks your driving behaviors and offers you automobile insurance discounts based upon the quality of your…


Added by Bill Schmarzo on December 20, 2017 at 3:30am — 6 Comments

Intelligent System To Analyze Feedback Sentiments

This paper enlightens the way companies can design Intelligent System to understand their customers’ sentiments better to improve their experience, which will help the businesses change their market position.

Sentiment analysis is widely acknowledged in the web and social media monitoring. It allows businesses to gain a comprehensive public opinion on the organization and its services. The ability to deduce insights from the text and emoticons from social media is a…


Added by Valiance Solutions on December 20, 2017 at 1:30am — No Comments

Using Algorithms to Identify Serial Killers

The New Yorker wrote an article about a retired reporter using algorithm to sort through murder statistics to identify link murders to the same serial killer. The article discusses how he chose his metrics and failed efforts.

Thomas Hargrove is a homicide archivist. For the past seven years, he has been collecting municipal records of…


Added by Paris Granville on December 19, 2017 at 8:30pm — 1 Comment

Best DSC Forum Questions - Part 5

This is a new series, featuring forum questions (new and old) that are still popular today. These questions were selected manually based on popularity, removing outdated material. The entire series consists of about 160 questions -- most with answers, sometimes several answers. We intend to publish a new set every two weeks or so. The previous edition was posted …


Added by Vincent Granville on December 19, 2017 at 1:00pm — No Comments

The Difference between Data Scientists, Data Engineers, Statisticians, and Software Engineers

Finding out the difference between data scientists, data engineers, software engineers, and statisticians can be confusing and complicated. While all of them are linked to data in a way, there is an underlying difference between the work they do and manage. 

The growth of data  and its usage across…


Added by Ronald van Loon on December 19, 2017 at 1:00am — 1 Comment


Summary:  If you have committed to data and analytics as strategically important to your business, should you have a Chief Data Officer (CDO) or a Chief Analytics Officer (CAO)?  What’s the difference and what’s the trend?


As predictive analytics has increasingly penetrated companies and become a proven strategic…


Added by William Vorhies on December 18, 2017 at 5:06pm — No Comments

Learn how is AngularJS different from jQuery


JavaScript tools are gaining a lot of attention in the present time. This is mainly because of their ability to make the things in application development simple and reliable. You might have no idea that AngularJS and JQuery are the two very popular JavaScript tools of the 21st century.

JQuery is basically a Document Object Model library which is…


Added by Elena Lauren on December 18, 2017 at 2:30am — No Comments

If Coffee in the Morning does not Wake you up... (funny)

Funny picture that will appeal to any programmer or software engineer doing production work, in one way or another, including data engineers and many data scientists.

DSC Resources


Added by Capri Granville on December 17, 2017 at 3:00pm — 3 Comments

Data Science with Python: Exploratory Analysis with Movie-Ratings and Fraud Detection with Credit-Card Transactions

The following problems are taken from the projects / assignments in the edX course Python for Data Science and the coursera course Applied Machine Learning in Python (UMich).


1. Exploratory Analysis to Find Trends in Average Movie Ratings for different Genres


● The IMDB Movie Dataset (MovieLens 20M) is used for the analysis.

● The dataset is downloaded from …


Added by Sandipan Dey on December 16, 2017 at 1:30pm — 5 Comments

Weekly Digest, December 18

Monday newsletter published by Data Science Central. Previous editions can be found here.  The contribution flagged with a + is our selection for the picture of the week.


Added by Vincent Granville on December 16, 2017 at 9:00am — No Comments

Star Wars: The Audience Turns to the Dark Side

Here is a guest post from George McIntire

George McIntire


George McIntire is a data science writer, educator and mentor in Thinkful's Los Angeles coding bootcamp. He's interested in using the power of data science to educate the public and make better sense of our world.…


Added by Shay Pal on December 15, 2017 at 3:30pm — No Comments

Comparison of Deepnet & Neuralnet

Guest blog post by Blaine Batman. Based on two R packages for neural networks.

In this article, I compare two available R packages for using neural networks to model data: neuralnet and deepnet. Through the comparisons I highlight various challenges in finding good hyperparameter values. I show that some needed hyperparameters differ when using these two packages, even with the same…


Added by Vincent Granville on December 15, 2017 at 8:00am — 1 Comment

Google Tutorial on Machine Learning

This presentation was posted by Jason Mayes, senior creative engineer at Google, and was shared by many data scientists on social networks. Chances are that you might have seen it already. Below are a few of the slides. The presentation provides a list of machine learning algorithms and applications, in very simple words. It also explain the differences between AI, ML and DL (deep learning.)…


Added by Capri Granville on December 15, 2017 at 7:30am — No Comments

Leveraging Fuzzy String Matching In Competitive Intelligence

Product comparison is one of the crucial aspects of competitive intelligence (CI). There are two modes of  product comparison:

  1. Comparison of own product price across multiple channels
  2. Comparison of own product price with suitable competitor product

But, the greatest challenge in this journey is how to get the correct…


Added by saurabh ajmera on December 13, 2017 at 4:30am — 1 Comment

What is Big Data And How Does It Work?

Your technology is generating data whenever you use your smartphone, when you chat with your family and friends on Facebook, and when you shop. Anytime you go online, you’re producing data and leaving a digital trail of information. All of this data is very complex, there’s so much of it from many different sources, and it's coming in…


Added by Ronald van Loon on December 12, 2017 at 3:30pm — No Comments

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