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September 2016 Blog Posts (102)

Shopper Marketing -Infographic

This infographic on Shopper Marketing was created by Steve Hashman and his team. Steve is Director at Exponential Solutions (The CUBE) Marketing. 

Shopper marketing focuses on the customer in and at the point of purchase. It is an integrated and strategic approach to a customer’s in-store experience which is seen as a driver of both sales and brand equity.…

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Added by Emmanuelle Rieuf on September 19, 2016 at 12:30pm — No Comments

How can organizations successfully convert big data into real-world decisions?

Contributed Article from MIT Professor Devavrat Shah.

According to analyst firm IDC, the amount of data being generated in our digital universe is expected to double every two years, producing more than 40,000…

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Added by Vincent Granville on September 19, 2016 at 8:57am — 1 Comment

Big Data Misconceptions



The idea and concept of “Big Data” has been around for a while now, however it seems there are many people who still believe it is shrouded in mystery. Therefore, in the following post we are going to debunk some of the top big data…

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Added by Martin Doyle on September 19, 2016 at 1:30am — No Comments

Smart Cities at the Nexus of Emerging Data Technologies and You

(Source: https://gcn.com/articles/2016/09/07/epa-air-sensor-challenge.aspx)

One of the most significant characteristics of the evolving digital age is the convergence of technologies. That includes information management (databases), data…

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Added by Kirk Borne on September 18, 2016 at 9:00am — No Comments

Generalized Dynamical Machine Learning

In this year of Rudolf Kalman’s demise, this article is dedicated to his memory.

 

We introduce a new Machine Learning (ML) solution for Dynamical, Non-linear, In-Stream Analytics. Clearly, such a solution will accommodate Static, Linear and Offline (or any combination thereof) Machine Learning tasks. The value of such a solution is significant because the same…

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Added by PG Madhavan on September 18, 2016 at 8:00am — No Comments

Real Time Digital Image Processing of Agricultural Data

In my earlier articles, I had discussed about about application of Big data for gathering Insights on green revolution and witnessed about a research work on supply chain management using big data analytics on agriculture. Incrementally, got an opportunity to implement data science methodology (a game theory approach) to make the results of SCM as an incentive compatible one. However, in this article I am trying to discuss about a large scale digital image processing obtained using…

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Added by VINU KIRAN .S on September 18, 2016 at 3:30am — No Comments

Weekly Digest, September 19

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.

Announcements

  • Unlocking New Opportunities with Behavioral Analytics at Hootsuite.  Join Robi Chakrabarti, Product Operations at Hootsuite, to discuss how behavioral analytics has helped Hootsuite…
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Added by Vincent Granville on September 17, 2016 at 10:00am — No Comments

How Hillary's Campaign is (Almost Certainly) Using Big Data

This article was written by Eric Siegel. Eric, Ph.D., is the founder of the Predictive Analytics World conference series, executive editor of The Predictive Analytics Times, and a former computer science professor at Columbia University.

Analytics will win votes this year. Science, as it did in 2012, is playing an important role for mass voter persuasion in the U.S. presidential race. It’s a numbers game: Predictive analytics targets campaign activities, strengthening a…

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Added by Emmanuelle Rieuf on September 17, 2016 at 6:30am — 1 Comment

Philadelphia Crime Science - A "data" investigation

In today's blogpost, we take a look at the crime statistics in Philadelphia, investigation from a "data scientist" perspective, so as to speak. This is my attempt at presenting crime in Philadelphia area from a data visualization perspective. Please feel free to add your thoughts and feedback in the comments section.

The…

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Added by Ann Venkataraman on September 17, 2016 at 4:00am — 1 Comment

We Should Feel Safer Than We Do Analysis, Data Set, R Code

Contributed by Christian Holmes. He takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is based on their first class project – the Exploratory Data Analysis Visualization Project, due on the 2nd week of the program. You can find the original article here.

Background

Crime…

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Added by NYC Data Science Academy on September 16, 2016 at 1:30pm — No Comments

A Relocation Guidebook for Data Scientists and More

Contributed byAmy Tzu-Yu Chen . Amy is currently in the  NYC Data Science Academy12 week full time Data Science Bootcamp program taking place between July 5th to September 23rd, 2016. This post is based on her first class project - R  Visualization (due on the 2nd week of the program)

You may also explore this project via …

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Added by NYC Data Science Academy on September 16, 2016 at 1:00pm — No Comments

Composable Dataflows vs Python Scripts

I started to think more about the data prep and cleansing use cases, and why someone would choose to develop those as Composable Dataflows versus using something like Python scripts.  Yes, either one will get the job done, but there are factors like development time, debug-ability, execution speed, and re-usability which can be deciding factors.  By buying into the dataflow methodology, there are some big value…

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Added by Lars Fiedler on September 16, 2016 at 6:30am — No Comments

4 Things Your Data Scientist Should Not Be Doing

 

It's the age of big data.

Sets of data so vast, so overwhelming that traditional data processing applications aren’t able to handle them.

In fact, according to statistics, more data has been produced just in the last couple of years than in the entire previous history of the…

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Added by Ajay Paghdal on September 15, 2016 at 7:30pm — 3 Comments

NYC Taxi Riders' Tipping Behavior Analysis

Contributed by Aiko Liu. He takes the NYC Data Science Academy 12 week full time Data Science Bootcamp program from July 5th to September 22nd, 2016. This post is based on their first class project – the Exploratory Data Analysis Visualization Project, due on the 2nd week of the program. You can find the original article here.

To Tip or Not to Tip, That is the Question!

In this blog…

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Added by NYC Data Science Academy on September 15, 2016 at 12:00pm — No Comments

Thursday News: 25 Big Data Predictions, Regression Tutorial, ML, IoT, AI

Here is our new selections of featured articles and resources this Thursday:

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Added by Andrei Macsin on September 15, 2016 at 8:02am — No Comments

Top programming languages for Data Science: first partial survey findings

The proliferation of data and the huge potentialities for companies to turn data into valuable insights are increasing more and more the demand of Data Scientists.

But what skills and educational background must a Data Scientist have? What is its role within the organization? What tools and programming languages does he/she mostly use? These are some of the questions that the…

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Added by Alessandro Piva on September 15, 2016 at 8:00am — 1 Comment

Analysis of NYC Yellow Taxi data

Contributed by Frank Wang. He  is currently in the NYC Data Science Academy …

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Added by NYC Data Science Academy on September 14, 2016 at 1:00pm — 1 Comment

25 Predictions About The Future Of Big Data

Guest blog post by Robert J. Abate.

In the past, I have published on the value of information, big data, advanced analytics and the Abate Information Triangle and have recently been asked to give my humble opinion on the future of Big Data.

I have been fortunate to have been on three panels recently at industry conferences which discussed this very question with such industry thought leaders as:…

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Added by Vincent Granville on September 14, 2016 at 12:30pm — 5 Comments

Within the next five years, how will technology change the practice of management in a way we have not yet witnessed?

MIT Sloan Management Review posed this question to 15 of the world’s foremost experts on the intersection of technology and management who responded in a series of essays now available from MIT SMR. The essays were commissioned to explore how technology is reshaping the practice of management.

The impact of digital technology on how businesses design and produce goods, interact with their supply chains, manage internal…

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Added by Robert Holland on September 14, 2016 at 12:00pm — No Comments

Big Data: 17 Predictions Everyone Should Read

Guest blog post by Bernard Marr.

Almost everyone can agree that big data has taken the business world by storm, but what’s next?  Will data continue to grow?  What technologies will develop around it? Or will big data become a relic as quickly as the next trend — cognitive technology? fast data? — appears on the horizon.   

Let’s look at some of the predictions from the foremost experts…

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Added by Vincent Granville on September 14, 2016 at 9:37am — 1 Comment

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