March 2016 Blog Posts (100)

Key-Object – A New Paradigm in Search?

Summary:  The premise of this new Key Object architecture is that search is broken, at least as it applies to complex merchandise like computers, printers, and cameras.  An innovative and workable solution is described.  The question remains, is the pain sufficient to justify a switch?


As we are all fond of saying, innovation follows pain…


Added by William Vorhies on March 15, 2016 at 9:39am — No Comments

Infrastructure transformation to abide by European commission’s new GDPR

European communication and technology industry presently observes strategic business activities in its favor. The adoption of Accenture’s IT services by insurance intermediary Towergate is a recent example of enterprises’ action plan for integration of their services. “To ensure we pave the way for growth, we are transforming our entire IT infrastructure to positively change how we run our business and serve our diverse client base,” said Gordon Walters, CIO,…


Added by Kirti Autade on March 15, 2016 at 2:00am — No Comments

Data Science in Marketing – What It Is & How You Can Get Started

At my LinkedIn Profile, I recently got an email from a Dell Recruiter who was looking to interview me for a Marketing Data Scientist position that she was trying to fill. The location was all wrong for me, but the email really got me thinking about marketing data science, and what it was about my LinkedIn profile that had piqued her interest.

 I mean, as a small business owner, I wear many hats… In fact, I’d say that about 30% of the work I do with my business is related to marketing…


Added by Sivakumar Soundararajan on March 14, 2016 at 8:30pm — 1 Comment

43 New External Machine Learning Resources and Updated Articles

Starred articles are candidates for the picture of the week. A comprehensive list of all past resources is found here. We are in the process of automatically categorizing them using indexation and automated tagging…


Added by Vincent Granville on March 14, 2016 at 5:00pm — 1 Comment

XGBoost: A Scalable Tree Boosting System

"Abstract Tree boosting is a highly effective and widely used machine learning method. In this paper, we describe a scalable end-to-end tree boosting system called XGBoost, which is used widely by data scientists to achieve state-of-the-art results on many machine learning challenges. We propose a novel sparsity-aware algorithm for sparse data and…


Added by Diego Marinho de Oliveira on March 14, 2016 at 7:02am — 1 Comment

How to Use Cohort Data to Analyze User Behavior

Guest blog post by Jacob Joseph, originally posted here

In the world of data analysis, one tool is often left unused. While being a very powerful analytics tool, cohorts are often…


Added by Vincent Granville on March 13, 2016 at 8:40pm — No Comments

Implementation of 17 classification algorithms in R

This long article with a lot of source code was posted by Suraj V Vidyadaran. Suraj is pursuing a Master in Computer Science at Temple university primarily focused in Data Science specialization. His areas of interests are  in sentiment analysis, data visualization, big data and machine learning.

This data is obtained from UCI Machine learning repository. The purpose of the…


Added by L.V. on March 13, 2016 at 9:30am — No Comments

What Types of Questions Can Data Science Answer?

Guest blog post, authored by Brandon Rohrer, Senior Data Scientist at Microsoft. Originally posted here

Machine learning (ML) is the motor that drives data science. Each ML method (also called an algorithm) takes in data, turns it over, and spits out an answer. ML…


Added by Vincent Granville on March 12, 2016 at 7:00pm — 1 Comment

Performance From Various Predictive Models

Guest blog post by Dalila Benachenhou, originally posted here. Dalila is Professor at George Washington University. In this article, benchmarks were computed on a specific data set, for Geico Calls Prediction, comparing Random Forests, Neural Networks, SVM, FDA, K Nearest Neighbors, C5.0…


Added by Vincent Granville on March 11, 2016 at 10:30am — 1 Comment

Accelerate Decision Making : Get Data Driven Actionable Insights

"The goal is to turn data into information, and information into insight."

The banking and financial services sector has gone through unprecedented change in the last few years, writes Paul Garel-Jones. Now Customers are expecting a more personalized services from their banks however Regulators have reacted to the credit crunch with significant changes to regulation with more intrusive and granular supervision. At the…


Added by Anuj Tripathi on March 10, 2016 at 11:40pm — No Comments

Call for Papers: Special Session on Real-World Data Mining & Data Science Applications, Challenges, and Perspectives

You are invited to submit papers for consideration in the special session on "Real World Data Mining Applications,",  that will  be held in DMIN'16, Las Vegas Nevada, July 25 -28, 2016.
Special Session on Real-World Data…

Added by Mahmoud Abounasr on March 10, 2016 at 4:39pm — No Comments

7 Cases Where Big Data Isn’t Better

Summary:  It’s become almost part of our culture to believe that more data, particularly Big Data quantities of data will result in better models and therefore better business value.  The problem is it’s just not always true.  Here are 7 cases that make the point.


Following the literature and the technology you would think there is…


Added by William Vorhies on March 10, 2016 at 2:15pm — 5 Comments

Why the Time-Tested Science of Data Visualization Is So Powerful

For almost as long as we have been writing, we’ve been putting meaning into maps, charts, and graphs. Some 1,300 years ago, Chinese astronomers recorded the position of the stars and the shapes of the constellations. The Dunhuang star maps are the oldest preserved atlas of the sky:

More than 500 years ago, the residents of the Marshall Islands learned to navigate the surrounding waters by canoe in the daytime—without the aid of stars. These master rowers learned to…


Added by Jeff Pettiross on March 10, 2016 at 8:58am — No Comments

AirBnB New User Bookings, Kaggle Winner's Interview: 3rd Place

AirBnB New User Bookings was a popular recruiting competition that challenged Kagglers to predict the first country where a new user would book travel. This was the first recruiting competition on Kaggle with scripts enabled. AirBnB…


Added by Diego Marinho de Oliveira on March 10, 2016 at 2:30am — No Comments

Weekly Digest, March 14

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has six sections: (1) Featured Resources and Technical Contributions, (2) Featured Articles and Case Studies, (3) From our Sponsors, (4) News, Events, Books, Training, Forum Questions, (5) Picture of the Week, and (6) Syndicated Content.

The full version is always published Monday.…


Added by Vincent Granville on March 9, 2016 at 11:00am — No Comments

Global Big Data Market Expands with Expeditious Data Generation across Businesses

Big data is the humongous amount of information, both structured and unstructured, that is generated from everyday functioning of various sectors across all walks of life. The high volume of big data generated across the world has necessitated the development of technological tools that can make this information utilizable. These tools have taken many form, from the previously used SQL (structured query language) to advanced DBMS (data base management systems). Hadoop is the newest and most…


Added by Ankit Jain on March 8, 2016 at 9:00pm — No Comments

The Death of the Statistical Tests of Hypotheses

Some foundations of statistical science have been questioned recently, especially the use and abuse of p-values. See also this article published in FiveThirtyEight.com. Statistical tests of…


Added by Vincent Granville on March 8, 2016 at 1:00pm — 9 Comments

Independent Analytics Vendor (IAV) – a new vendor category?

ISVs are commonplace in software and technology business. Per Wikipedia, an independent software vendor (ISV) is an organization specializing in making software, designed for mass or niche markets. This is in contrast to software developed for in-house use only within an organization or software designed or adapted for a single, specific…


Added by PG Madhavan on March 8, 2016 at 11:30am — No Comments

Apache Spark and R : The best of both worlds.

As folks working in the field of Data Science and Analytics would know, R is one of the best languages to do data analytics and machine learning. Its simple and easy to use syntax and support for a huge library of capabilities makes it a top Data Science language. But the biggest limitation of R is the amount of data it can process. Its data processing capacity is limited to memory on a single node (at least the free version.).

Apache Spark is taking the Big…


Added by Kumaran Ponnambalam on March 8, 2016 at 10:04am — 1 Comment

How to Tell a Compelling Story with Data - 6 Rules & 6 Tools

Author: Gaurav Jha.

The way a message is communicated is almost as important as the message itself. Our world is moving towards a more data-oriented approach to decision making in every walk of life. Packaging the analysis in a way that’s easy to digest can increase its reach and effectiveness. Humans have evolved to develop a very acute sense of…


Added by Surendran B on March 8, 2016 at 8:00am — 1 Comment

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