Featured Blog Posts – November 2015 Archive (101)

Hollywood's Sequel Problem

Contributed by Jake Lehrhoff. Jake took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his third class project(due at 6th week of the program).

Header artwork…


Added by NYC Data Science Academy on November 22, 2015 at 9:00am — No Comments

HarvardX / MITx Online Courses - Year 1

Contributed by John Montroy. John took NYC Data Science Academy 12 week full time Data Science Bootcamp program between Sept 23 to Dec 18, 2015. The post was based on his first class project(due at 2nd week of the program).…


Added by NYC Data Science Academy on November 22, 2015 at 9:00am — No Comments

Google + open-source = TensorFlow


Recently, when I was attending AINL-ISMW FRUCT 2015 conference, I found out that Google open-sourced TensorFlow. That is cool, but may provoke some questions. Here, I try to answer some of them.

What is TensorFlow?

It is definitely…


Added by Nikitinsky Nikita on November 22, 2015 at 5:54am — No Comments

Building A Predictive Model

“Predictive analytics” is a commonly used term today. Wikipedia describes it as ‘encompassing a variety of statistical techniques from modeling, machine learning, and data mining that analyze current and historical…


Added by Aureus Analytics on November 21, 2015 at 12:30am — No Comments

1.1 Billion NYC Taxi and Uber Trips analyzed and visualized.

An open-source exploration of the city's neighborhoods, nightlife, airport traffic, and more, through the lens of publicly available taxi and Uber data.

Images are clickable to open hi-res versions.




Added by Denis Rasulev on November 20, 2015 at 9:20pm — No Comments

3 reasons why companies are not engaging with data as much as they ought to

A look at a number of recent reports and surveys shows that while there is an appetite for using data more wisely, and an intention amongst top executives to use data more there are still many companies not using data as effectively as they could.

According to Hewlett Packard

  • 87% Of enterprises cannot fully exploit their data
  • 85% Cannot Analyse data quickly enough…

Added by Bruce Robbins on November 20, 2015 at 1:30am — 1 Comment

The Future of Analytics Depends on IBM - and Vice Versa!

IBM is again at a crossroads as its stock price languishes and market analysts question if it is on the right path.  The Company has doubled down on predictive analytics as a core element of its transformation strategy – however, the decline in its low growth legacy businesses is outpacing the growth in its new business initiatives.  Consequently, overall revenue has declined in each of the past fourteen quarters and earnings have continued to disappoint, resulting…


Added by Gregory Thompson on November 19, 2015 at 4:37pm — 1 Comment

21 data science systems used by Amazon to operate its business

Most of these systems are or should be used by most large organisations, for business optimization.

Here's my list:

  1. Supply chain optimization (I). Sites selection for warehouses to minimize distribution costs (proximity to vendors, balanced against proximity to consumers). How many warehouses are needed, and what capacity each of…

Added by Vincent Granville on November 19, 2015 at 11:00am — 5 Comments

Predictive Analytics Goes to College – to Predict Student Success

Summary:  Higher education has been a little slow on the uptake to use advanced analytics to improve student success but now with the technology that allows us to marry and analyze structured and unstructured data, including streaming data, a number of successful…


Added by William Vorhies on November 19, 2015 at 10:30am — 3 Comments

How Google's Results Page has Changed Over the Years

Google changes its search algorithms around 500 to 600 times within a year. Most of this changes are minor, but sometimes Google makes a "major" algorithmic update such as the famous (Google Penguin and Google Panda) affecting the results in significant ways. For marketers, these…


Added by David Schwartz on November 19, 2015 at 10:25am — No Comments

Learning Analytics


Education for years has been one model that fits for all. A fixed curriculum developed based on experience is delivered to a group of students with the hope of it getting across to all the students with the same effectiveness.  Then each student is graded based on the basis of his understanding of that curriculum. 

Now imagine a classroom where its not just the student that is learning about the world but where the classroom is also learning about the…


Added by Shantanu Ranjan Verma on November 19, 2015 at 2:03am — 2 Comments

Comparing Data Warehouse Solutions

We have collected the best resources from the net comparing the top data warehouse solutions such as Vertica, Aster Data, Greenplum,…


Added by Demnag on November 19, 2015 at 12:30am — No Comments

Given the history of medicine, why are randomized trials not used for social policy?

Policy changes can have substantial societal effects. For example, clean water and  hygiene policies have saved millions, if not billions, of lives. But effects are not always positive. For example, prohibition, or the "noble experiment", boosted organized crime, slowed economic growth and increased deaths caused by tainted liquor. Good intentions do not guarantee desirable outcomes.

The medical establishment…


Added by Sri on November 18, 2015 at 5:01pm — No Comments

Weekly Digest, November 23

Starred articles are new additions or updated content, posted between Thursday and Sunday. The weekly digest has 6 sections: (1) Featured Articles and Case Studies, (2) Featured Resources and Technical Contributions, (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 November 18, 2015 at 4:30pm — No Comments

Programming Python vs R

This article is no longer available. We apologize for the inconvenience. To read more about Python versus R, click here.  An excellent Python guide can be found here

Added by William Vorhies on November 18, 2015 at 10:00am — 1 Comment

TensorFlow Machine Learning System

Google recently open sourced TensorFlow providing access to a powerful machine learning system. TensorFlow is a machine learning library with tools for data scientists to design intelligent systems (interface for expressing machine learning algorithms and…


Added by Michael Walker on November 17, 2015 at 9:44pm — 1 Comment

The Data Science Industry: Who Does What

Interesting infographics produced by DataCamp.com, an organisation offering R and data science training. Click here to see the original version. I would add that one of the core competencies of the data scientist is to automate the process of data analysis, as well as to create applications that run automatically in the background, sometimes in…


Added by L.V. on November 17, 2015 at 5:30pm — No Comments

Why Every Manager Needs These Data Science Skills

The fact is, data is becoming an increasingly important business assets and more and more decisions are based on analysis of data.  It’s infiltrating every department of every business, and that means that the employees and managers who have the skills to deal with data will be in a better position to help their company and move up.


But don’t fret:…


Added by Bernard Marr on November 17, 2015 at 5:00pm — 2 Comments

Spark Or Hadoop: Which Is The Best Big Data Framework?

One question I get asked a lot by my clients is: Should we go for Hadoop or Spark as our big data framework? Spark has overtaken Hadoop as the most active open source Big Data project. While they are not directly comparable products, they both have many of the same uses.

To shed some light onto the issue of “Spark vs. Hadoop.” I thought an article explaining the essential differences and similarities of each might be useful. As always, I have tried to keep it accessible to anyone,…


Added by Bernard Marr on November 17, 2015 at 5:00pm — 3 Comments

The Data-Driven Weekly #1.2

Last week witnessed a number of exciting announcements from the big data and machine learning space. What it shows is that there are still lots of problems to solve in 1) working with/deriving insights from big data, 2) integrating insights into business processes.


Probably the biggest (data) headline was that Google open sourced TensorFlow, their graph-based…


Added by Brian Rowe on November 17, 2015 at 6:02am — No Comments

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