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All Blog Posts Tagged 'Science' (256)

(R + Python)

Both R & Python should be measured based on their effectiveness in advanced analytics & data science. Initially, as a new comer in data science field we spend good amount of time to understand the pros and cons of these two. I too carried out this study solely for “self” to decide which tool should i pick to get in depth of data science. Eventually, i have started realizing that both (R & Python) has its space of mastery along with their broad support to data science. Here some…

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Added by Manish Bhoge on February 7, 2014 at 9:22pm — 4 Comments

Operational Data Science: excerpt from 2 great articles

The term "Data Science" has been evolving not only as a niche skill but as a niche process as well. It is interesting to study "how" the Big data analytics/Data Science/Analytics can be efficiently implemented into the enterprise. So, along with my typical study of analytics viz. Big data analytics I have been also exploring the methodologies to bring the term "Data Science" into mainstream of existing enterprise data analysis, which we conventionally know as "Datawarehouse & BI". This…

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Added by Manish Bhoge on December 12, 2013 at 7:30am — No Comments

New in Plotly: Interactive Graphs with IPython

New! Plotly lets you style interactive graphs in IPython. Then, you can share your Notebook or your Plotly graph. It's like having the NYTimes graphics department inside your IPython.

You can also get these Notebooks on the Plotly GitHub page. Visit Plot.ly to see more documentation. …

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Added by Matthew Sundquist on December 2, 2013 at 12:30am — 2 Comments

“GHOST DEVELOPERS” AND BI CENTRE OF EXPERTISE: THE BELGACOM GROUP’S EXPERIENCE

 

Belgacom Group is the world 8th Telecom operator, it is 1st in Belgium for Mobile phone and landline services (e.g. 4,6 million mobile phone customers). The group employs 17 000 people, is owned (53, 5%) by the Belgium state and develop landline services under the brand names of Belgacom, Telindus, Skynet. Belgacom also develop a very specific approach for its strategic positioning by balancing the product leadership, prices competitiveness and the knowledge of its…

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Added by Michel Bruley on December 2, 2013 at 12:12am — No Comments

Models vs. Experiments

At the Rose Professional Data Science Practice, we see many organizations spending a majority…
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Added by Michael Walker on November 17, 2013 at 8:30am — No Comments

Plotly Beta: Graphing and Analytics Platform

Hey Data Scientists,

I wanted to reach out about Plot.ly, a new startup for analyzing and beautifully visualizing data. We just launched a beta.

It is built for math, science, and data applications. We'd love your thoughts.

Overview: 

  • You can import data from anywhere, and analyze it in our grid with stats, fits, functions, and…
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Added by Matthew Sundquist on November 9, 2013 at 10:40pm — No Comments

Sensors Here, There and Everywhere

Smart organizations are using the power of data science and data produced by embedded sensors and machine devices to better measure performance, discover patterns, prevent problems, and improve…

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Added by Michael Walker on October 29, 2013 at 11:30am — 3 Comments

The Professionalization of Data Science

There has been much discussion and debate about the definition of data science and the new rare breed of sexy bird called the data scientist. The …

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Added by Michael Walker on October 22, 2013 at 10:13pm — 2 Comments

High Performance Computing + Data Science = Competitive Advantage

High Performance Computing (HPC) plus data science allows public and private organizations get…

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Added by Michael Walker on September 17, 2013 at 12:28pm — 1 Comment

Prescriptive Analytics

Business analytics comes in three (3) general flavors: descriptive, predictive and prescriptive. See: …

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Added by Michael Walker on August 27, 2013 at 2:00pm — No Comments

Big Data: Understand the customer course on the net before he buys

 

Marketing is being redefined by the changing habits of consumers, by the limitless choice for placing ads and the access to customers through a variety of channels. As a result, many companies are changing their plan of action and the allocation of their budgets for the different channels, including the web, campaigns, including mobile, social media, etc.



Recent studies which have analyzed the course of online shoppers, indicate that traditional marketing campaigns…

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Added by Michel Bruley on August 1, 2013 at 11:44pm — No Comments

Data Science Summer Reading List 2013

Machine Learning: A Probabilistic Perspective, by Kevin Murphy.



Boosting: Foundations and Algorithms, by Robert E. Schapire.



Models Behaving Badly: Why Confusing Illusion with Reality Can Lead to Disaster, by Emanuel Derman.



Doing Data Science, by Cathy O'Neil and Rachel…

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Added by Michael Walker on July 9, 2013 at 3:00pm — 1 Comment

Data Scientists vs. Data Engineers

More and more frequently we see organizations make the mistake of mixing and confusing team roles on a data science or "big data" project - resulting in over-allocation of responsibilities assigned to …
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Added by Michael Walker on July 2, 2013 at 12:01pm — 9 Comments

Data Science and Predictive Analytics Strategy for Marketing

By developing a data science and predictive analytics strategy for marketing, organizations identify their most profitable customers, accelerate product innovation, optimize supply chains and pricing, and…
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Added by Michael Walker on June 19, 2013 at 9:39am — No Comments

Big Data & Associative Technology (the future)

Hello

Imagine being able to do anything your mind can imagine, well now it can..

The 6th Normal Form is not a TERM.. it is a GOAL.. the "holy Grail" if you will of data management and more importantly "Information" management.. Imagine being able to Store IDEAS as opposed to disconnected bits of data..



A brief "INCORRECT" comment on WIKI.. "A relvar R [table] is in sixth normal form (abbreviated…

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Added by Jean Michel LeTennier on June 16, 2013 at 5:18am — 2 Comments

Privacy vs. Security and Data Science

"They that can give up essential liberty to obtain a little temporary safety deserve neither liberty nor safety." – Benjamin Franklin

Recent revelations concerning the…
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Added by Michael Walker on June 12, 2013 at 3:30pm — No Comments

Data Science and Perspectives

There are two major perspectives of Data Science we can look at:

- Consumer/User Perspective

- Data Scientist’s Perspective

This article explores these two areas to ponder upon in little more depth.

- Consumer/User Perspective (User will not like “noise”)

A single user/consumer might need some analysis to either start some study or make some decisions. This single user might be a CIO/CTO or perhaps we can also say that this single user is a group of decision…

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Added by Atif Farid Mohammad on June 11, 2013 at 10:40am — No Comments

3 min Healthcare Big Data Video

We have tried to synthesize the most disruptive big data use cases into a compact . 3 Minute video

at https://www.youtube.com/watch?v=UWPUxLr-u9k

 

It covers 6 use cases , 4 healthcare data streams and hopefully sets the stage for curating more use cases in an area which truly needs a lot of healthy transformations !!!

Added by derick.jose on June 5, 2013 at 10:20am — No Comments

Statistics is Dead - Long Live Statistics!

As data science evolves into a separate and distinct scientific and business discipline, there is talk about the death of traditional statistics. It is true that today's large data sets are unlike the ones we analyzed in graduate statistics classes. It is also true that big data…

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Added by Michael Walker on May 30, 2013 at 5:00pm — 1 Comment

Smart Data Scientists Virtualize Data

Smart data scientists use data virtualization to integrate data from many diverse sources - logically and virtualized for on-demand consumption by different data analytical applications. For example, data virtualization is used to address challenges such as rogue data marts, business…
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Added by Michael Walker on May 16, 2013 at 6:30pm — 2 Comments

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