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May 2017 Blog Posts (88)

Management Challenge: P-hacking or “The Danger of Alternative Facts”

Mark Twain famously said “There are three kinds of lies: lies, damned lies, and statistics.” Maybe if Mark Twain were alive today, he’d add “alternative facts” to that list. BusinessWeek in the article “Lies, Damn Lies, and Financial Statistics” reminds us of the management challenges with statisticians or “data scientists” who manipulate the…


Added by Bill Schmarzo on May 25, 2017 at 4:00am — No Comments

How Data Science Has Changed Everyday Life for the Better

Let’s be honest, today “big data” is sort of a dirty word in the public consciousness. It is associated closely with profit maximization techniques (such as recommendation lists on e-commerce sites and targeted ads), high-profile data leaks and privacy issues.

People do not like being a bundle of unsecured big data tied to a bank account. They want to be unique. Yet…


Added by Darren Beauchamp on May 24, 2017 at 5:30am — 2 Comments

Power Up Your Predictions with Plug n' Play Predictive Analysis

To be successful in business, every organization must find a way to accurately forecast and predict the future of its market, and its internal operations, and better understand the buying behavior of its customers and prospects. To accurately predict and plan, every enterprise must select a business intelligence solution that will support their efforts and provide business…


Added by Arbuda Dave on May 24, 2017 at 2:30am — No Comments

Overview of Artificial Intelligence and Role of Natural Language Processing in Big Data

Artificial Intelligence Overview


AI refers to ‘Artificial Intelligence’ which means making machines capable of performing intelligent tasks like human beings. AI performs automated tasks using intelligence.


The term Artificial Intelligence has two key components -

  • Automation  
  • Intelligence


For More…


Added by Nav Gill on May 24, 2017 at 2:00am — 2 Comments

18 Timeless Data Science Articles

This is our second post of a new series featuring articles published long ago. We manually selected articles that were most popular or overlooked, time-insensitive (for instance we eliminated articles about data science products because software packages and platforms have evolved so much over the last few years) and we only kept articles that still make sense and are useful today. Our previous edition…


Added by Vincent Granville on May 23, 2017 at 1:30pm — No Comments

Introduction to A/B Testing

Every product team wants to know what makes their product thrive. They want to know how to optimize metrics and leave users the happiest and most engaged. Without a way to definitively understand user behavior, they must turn to anything they can. Enter the A/B test.

Ultimately, every A/B test starts from a hypothesis. The hypothesis could be, “If we did [blank], then we would improve conversion.” Or “Feature X should drive increased retention, let’s test out that assumption through…


Added by Divya Parmar on May 23, 2017 at 8:00am — 1 Comment

IEEE Visual Analytics Science and Technology 2017 Challenges

We've had a number of  Data Science Central participants in the past and I think this may be of interest to the readers.  

IEEE Visual Analytics Science and Technology 2017 Challenges

Mystery at the Wildlife Preserve

The Visual Analytics Science and Technology (VAST) Challenge is an annual contest with the goal of advancing the field of visual…


Added by Georges Grinstein on May 23, 2017 at 7:00am — No Comments

Even a Poor Model Can Have a Lot of Value

Summary:  This is a lesson in how it may be possible to snatch victory from the jaws of defeat.  1.) A good ROC score does not necessarily mean a good model. 2.) Even a weak model may be good at the top and bottom – consider how you can use that.


This is a lesson in how it may be possible to snatch victory from the jaws of defeat.  In our world, defeat is ending up with a poor model that doesn’t do what you’d hoped.  This story about a particular project…


Added by William Vorhies on May 23, 2017 at 5:55am — No Comments

Apply Machine Learning Techniques to Problems in Financial Market

Past literature show that the comparisons of classifier's performance are specific to the types of datasets (e.g., Pharmaceutical industry data) used; i.e., some classifiers may perform better in some context than others. A paper titled CDS Rate Construction Methods by Machine Learning Techniques conducts the performance comparison exclusively in the context of financial market by applying a wide range of classifiers to provide solution to so-called Shortage of…


Added by Zhongmin Luo on May 23, 2017 at 1:30am — No Comments

How Not to Kill A Brand

General Motors’ decision to stop selling the cars in India, is a major step towards “creating a forgotten “image of brand Chevrolet sooner than later.  This is a potential indication of shaken belief system from global manufacturer and an engineering company.

This decision compels one to think on what could be possible causes, this is for sure not the failure of long term strategy nor intellect of teams working towards creating brands, selling cars, and generating revenues.



Added by Awadesh Tiwari on May 22, 2017 at 6:30pm — No Comments

Business Intelligence Isn't Just for Big Companies

Big companies are no longer the only players who put business intelligence to work for them to increase revenue. Small businesses are starting to use business intelligence as well to help them achieve their goals.

In case you don’t know what business intelligence is,…


Added by Rick Delgado on May 22, 2017 at 6:00am — No Comments

Building Analytics Competency Within the Team – Common Pitfalls to Avoid

Analytics is the most sought after competency in the business world right now. LinkedIn identified it as one of the most wanted skills across the globe. I have had discussions with various L&D heads who say the mandate this year is to build analytics talent within their organization. Over the course of many such discussions, I realized that while the end goal is clear for such organizations, the path is often not.

Analytics is very simply defined as the ‘language of data’. When we…


Added by Gaurav Vohra on May 21, 2017 at 8:30pm — No Comments

Anomaly detection for the Oxford Data Science for IoT Course

Today I would like to share some of the elements I covered as part of the  Data Science for Internet of Things courseat the Department of Continued Education of the University of Oxford. Thanks to Ajit Jaokar, I covered two topics for this course: anomaly detection for time series and predictive maintenance. And I would  like to thank him for the review of this blog post.

This blog post will be about anomaly detection for time series, and I will cover predictive…


Added by Jean-Jacques Bernard on May 21, 2017 at 8:00pm — No Comments

Top 7 Virtual Reality Industry use cases

Today Digital Transformation has entered our life and we have subconsciously using it also in day to day life.Virtual Reality technology has evolved dramatically in the past few years the costs of VR devices has gone down so it is all set to hit mainstream markets soon. While gaming applications like Pokemon Go have attracted most of the…


Added by Sandeep Raut on May 21, 2017 at 4:00am — No Comments

Keras: Deep Learning library for Theano and TensorFlow

This document comes from Keras Documentation. 

You have just found Keras.

Keras is a high-level neural networks API, written in Python and capable of running on top of either TensorFlow or Theano. It was developed with a focus on enabling fast experimentation. Being able to go from idea to result with the least possible delay is key to doing good…


Added by Emmanuelle Rieuf on May 20, 2017 at 11:30am — 1 Comment

Weekly Digest, May 22

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.

  • Complete your…

Added by Vincent Granville on May 20, 2017 at 11:00am — No Comments

Brain Computer Interface. The Case of BrainGate2 Neural Interface System

 At the end of March, the media reported: “New research published in The Lancet describes how the investigational BrainGate brain-computer interface, combined with a functional electronic stimulation system* in the arm of a Cleveland man with quadriplegia allowed him to move his arm and hand again to eat mashed potatoes, drink water from a mug and perform other activities, like scratching his nose”.…

Added by Walter Farah on May 19, 2017 at 3:00pm — No Comments

Pan-Canadian Artificial Intelligence Strategy

March 30, 2017. Brampton, Ontario 2:00 p.m. The Prime Minister will highlight Budget 2017 investments in AI research. A media availability will follow. Magna International Inc. 2550 Steeles Avenue East Brampton, Ontario (Trudeau, J. Prime…


Added by Walter Farah on May 19, 2017 at 3:00pm — No Comments

Introducing Context Discriminant - Artificial Intelligence for Tactical Strategic Execution with Bionic Fusion


Prevailing AI technology for analytics prefer the use of statistical science as the foundation for machine learning (ML) on historical data to distill knowledge and experience. Whether it be supervised or unsupervised, the result is then incorporated into playback engines to analyze new data. These methods and procedures work well for predictable scenarios with known outcomes and known variables.


What if the variables are unknown, and…


Added by Sing Koo on May 19, 2017 at 9:00am — No Comments

Artificial Intelligence In Agriculture. What’s next?

AI is gaining more and more popularity in all the spheres of our lives: 67 deals were made with AI-related companies in 2011, while the figures for 2015 showed 400 deals. And 2016 broke a record with 140 contracts signed only during the Q1.

In 2012 Autonomus Tractor Cooperation…


Added by Julia Kravchenko on May 19, 2017 at 4:30am — No Comments

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