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January 2017 Blog Posts (94)

Fraud analysis using speech analytics and Monte Carlo

As per the largest market research firm MarketsandMarkets the speech analytics industry will grow to USD 1.60 billion by 2020 at a Compound Annual Growth Rate (CAGR) of 22% from 2015 to 2020. Today the omnichannel world consists of voice, email, chat, social channels, and surveys, and each channel has its own importance.

Therefore, it becomes inevitable for any customer centric organization to ignore the information that can be glean…


Added by Sunil Kappal on January 25, 2017 at 8:00am — 3 Comments

Fraud detections in the health care industry

One more opportunity to implement data mining techniques in the health care industry will be helping the healthcare insurers to detect fraud transactions so that the other patients can receive better and more affordable healthcare services. This occurs when individuals deceive an insurance company to try to obtain money to which they are not entitled. It happens when someone puts false information on an insurance application and when false or misleading information is given or…


Added by Aravind Reddy on January 24, 2017 at 5:52pm — 2 Comments

Data Mining oppurtunity for Health Care providers

We all are aware that data mining holds great potential for healthcare providers to use data mining and data analysis in such a way that the physicians identify effective treatments and best practices, and patients receive better and more affordable healthcare services.  

Here for the example, I have taken the Apollo Health organization, India. And would like to discuss about implementing the data Mining opportunity: Get 2nd opinion.

Suppose take the scenario,…


Added by Aravind Reddy on January 24, 2017 at 5:48pm — No Comments

One Data Mining oppurtunity for Toyota Motor Corp

Toyota Motor Corp, because of its significant capabilities in the fields of data management and data services development. Toyota has already taken a bold step in creating a company dedicated to bringing cloud intelligence into the driving experience.

Further they have collaborated with Microsoft Corp. to consolidate much of the global research in telematics, data analytics and network security services as the auto industry expands connected-vehicle technologies.



Added by Aravind Reddy on January 24, 2017 at 5:44pm — No Comments

Recommenders: Packaged Solutions or Home Grown

Summary:  There are many sources of packaged recommenders including the more comprehensive Digital Personalization platforms.  It’s also possible to code your own.  Here are a few things to consider.


In our first article, “…


Added by William Vorhies on January 24, 2017 at 2:00pm — No Comments

Predicting Michelin Stars from Yelp Reviews in San Francisco

Contributed by Tyler Knutson. He  enrolled in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between July 5th  to September 23rd, 2016.  Code can be viewed in its entirety on GitHub. The original article can be found here.

Context and Overview…


Added by NYC Data Science Academy on January 24, 2017 at 7:30am — No Comments

Data Analytic Case Studies: Will it lead to unemployment in the next decade?

If there’s one tool you cannot afford to miss in your marketing toolkit, it is Data Analytics.

With new technologies and platform entering the market every day, it is increasingly becoming a challenge to justify the ROI for the expenditure on each platform.

While some debate that it might create the best opportunity to employ skilled people others state that it might be the worst state of glaring inequality plagued…


Added by Mohammad Farooq on January 23, 2017 at 10:00pm — No Comments

There Are Lies, Damn Lies, And Journalism

It has become clear over the last few months that mainstream media on both sides are stretching the truth, if not reporting fake stories first published in outlets such as The Onion. The famous picture below (about the number of people attending Trump's inauguration versus Obama 8 years ago) raises interesting questions.

I am not saying that the images are…


Added by Vincent Granville on January 23, 2017 at 8:30pm — 18 Comments

7 Articles About Hadoop, IoT, AI, DataViZ, NLP, and Fake News

Top 10 Commercial Hadoop Platforms 

Hadoop, the software framework which provides the necessary tools to carry out Big Data analysis, is widely used in industry and commerce for many Big Data related tasks. It is open source, essentially meaning that it is free for anyone to use for any purpose, and can be modified for any use. While designed to be user-friendly, in its “raw” state it still needs considerable specialist knowledge to set up and run.…


Added by Vincent Granville on January 23, 2017 at 11:00am — No Comments

How Big Data Is Boosting Emergency Preparedness

We never feel prepared when disaster strikes – from the devastation of Hurricanes Katrina and Sandy to the Pacific earthquake that moved the main island of Japan and caused several meltdowns at a nuclear power plant in 2011, the destruction of both natural and manmade disasters can seem both immeasurable and unpredictable.


The rise of big data, however, is making it increasingly possible for communities and organizations to predict when a disaster will strike, preparing…


Added by Larry Alton on January 23, 2017 at 5:30am — No Comments

Data Science Using Docker Containers

It's been few months since I started using docker containers for my data science experiments. Docker Containers are becoming very popular these days for reproducible experiments. 

The Motivation

I bought a new laptop during Thanksgiving shopping. It was a good deal for a Windows laptop ( Windows 10 Pro). I started trying to setup Docker in Windows and soon realized that it will be a long learning curve. Fortunately for me, my old laptop was still in good…


Added by Renjith Madhavan on January 22, 2017 at 5:00pm — No Comments

Common Probability Distributions: The Data Scientist’s Crib Sheet

This post was written by Sean Owen. 

Data scientists have hundreds of probability distributions from which to choose. Where to start?

Data science, whatever it may be, remains a big deal.  “A data scientist is better at statistics than any software…


Added by Emmanuelle Rieuf on January 22, 2017 at 11:30am — 1 Comment

Weekly Digest, January 23

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 January 21, 2017 at 7:00pm — No Comments

See this simple introduction to Natural Language Processing (NLP)

Today, with of Digitization  everything, 80 percent the data being created is unstructured. 
Audio, Video, our social footprints, the data generated from conversations between customer service reps, tons of legal document’s texts processed in financial sectors are examples of unstructured data stored in Big Data.
Organizations are turning to natural…

Added by Sandeep Raut on January 21, 2017 at 10:00am — No Comments

Statistics Means Never Having to Say You Are Certain!

When I was a kid there was a popular movie quote going around, "Love means never having to say you're sorry" which was the basis behind this T-shirt my wonderful mother got me.  It means very different things to different people, "Statistics means never having to say you’re certain”.  I like the shirt, but these differences are very…


Added by Scott Burk on January 21, 2017 at 9:30am — No Comments

Adapting an Algorithm to Real-time Applications

Below are some images generated by an algorithm that I originally created to study stocks. The stock in this case is Yahoo! in the early 2000s. I realize that none of these images resemble conventional stock market patterns. Keep in mind that algorithms by nature interact with the data. They don't simply restate the numbers in graphical form. An algorithm designed to deal with historical stock trading data can be modified to deal with the data in real-time. However, there is no inherent…


Added by Don Philip Faithful on January 21, 2017 at 8:48am — 4 Comments

Relationship between Insider Trading & short term stock prices

Contributed by Sharan Duggal.


Insider Trading is often associated with the illegal activity of trading in shares of ones company based on material non public information. But, insider trading is not always illegal. It is not illegal to own, or buy and sell shares of the company you work for, as long as the transactions are being disclosed publicly in a timely manner and as long as the information that is being used to trade is…


Added by NYC Data Science Academy on January 20, 2017 at 2:30pm — 1 Comment

Use Neural Networks to Find the Best Words to Title Your eBook

Contributed by Bernard Ong. He enrolled in the NYC Data Science Academy 12-week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This post is based on their third project - Web Scraping, due on 6th week of the program. The original article can be found…


Added by NYC Data Science Academy on January 20, 2017 at 2:30pm — No Comments

Can computers think? An epistemology for Artificial Intelligence

As AI enters our homes through smart home devices or tries to conquer our streets through self-driving cars, one need not be a Luddite to contemplate the potentially heavy implications of AI upon our daily lives and livelihood. The key to answering the question and indeed to understand the ultimate limits of AI is to ask if machines can really think. In this article, I list three tests drawn from three different disciplines to address that…


Added by Srividya Kannan Ramachandran on January 20, 2017 at 12:02pm — No Comments

Analyzing The Hype Around Big Data - A Balanced View

In my previous articles on ‘What I Wanted To Know About Big Data But Was Afraid To Ask’ series, I covered ‘What is Big Data’ and ‘Who came up with Big Data and Why’. Now that we are grounded on…


Added by Ramesh Dontha on January 20, 2017 at 7:30am — No Comments

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