Subscribe to DSC Newsletter

All Blog Posts (6,776)

Choosing the appropriate Clustering Algorithm (Video)

This is a short video that contains the criteria that I use while choosing the appropriate clustering algorithm. If you have other criteria that you use, please do let me know by leaving a comment on my blog or by reaching out to me on Twitter @VRaoRao Thanks!

http://themainstreamseer.blogspot.com/2014/01/choosing-appropriate-clustering.html

Added by Venky Rao on January 18, 2014 at 7:35am — No Comments

The Power of Bubble Charts

Check out this post on using Plotly bubble charts to display three or even four dimensions of data:

http://blog.plot.ly/post/71637573256/the-power-of-bubble-charts

Below is a chart with the interactive, text on the hover experience you can get if you view the page.…

Continue

Added by Matthew Sundquist on January 17, 2014 at 9:00am — No Comments

Weekly digest - January 20

Featured Articles

Continue

Added by Vincent Granville on January 16, 2014 at 11:00am — No Comments

Data Scientist versus Business Analyst

Business analysts focus on data base design (database modeling, at a high level, including defining metrics, dashboard design, retrieving and producing executive reports and designing alarm systems), ROI assessment on various business projects and expenditures, and budget issues. Some work on marketing or finance planning and optimization, and risk management. Many work on high-level project management,…

Continue

Added by Vincent Granville on January 16, 2014 at 9:00am — 3 Comments

Data Scientist versus Data Engineer

One of the main differences between a data scientist and a data engineer has to do with ETL versus DAD:

  • ETL (Extract/Load/Transform) is for data engineers, or sometimes data architects or database administrators (DBA).…
Continue

Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Data Scientist versus Data Architect

I recently had the following discussions with a number of data architects, in different communities, in particular (but not limited to) the TDWI group on LinkedIn. This is a summary of the discussion, featuring differences between data scientists and data architects, and how both can work together.

It…

Continue

Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Data Scientist versus Statistician

Many statisticians think that data science is about analyzing data, but it is more than that. Data science also involves implementing algorithms that process data automatically, to provide automated predictions and actions, such as:

  • Automated bidding systems…
Continue

Added by Vincent Granville on January 16, 2014 at 9:00am — 2 Comments

Six categories of Data Scientists

We are now at 9 categories after a few updates. Just like there are a few categories of statisticians (biostatisticians, statisticians, econometricians, operations research specialists, actuaries) or business analysts (marketing-oriented, product-oriented, finance-oriented, etc.) we have different categories of data scientists. First, many data scientists have a job title different from data scientist, mine…

Continue

Added by Vincent Granville on January 16, 2014 at 8:30am — 11 Comments

Markov Logic Networks for Better Decisions

One important goal of data science is to help decision makers make better decisions. Markov…

Continue

Added by Michael Walker on January 15, 2014 at 12:24pm — 1 Comment

Agile VS Traditional Project Management

This article outlines the differences between Agile and Traditional Project Management. APM vs TPM, where APM stands for Agile Project Management and TPM stands for Traditional Project Management. APM focuses on customer interaction and satisfaction, where as TPM focuses on artifacts and Plans and adherence to the Plan. APM responds to and change by using adaptive actions, where as TPM adheres to Change Management and tight control by using corrective actions. 

APM deals with…

Continue

Added by Atif Farid Mohammad on January 14, 2014 at 11:55am — No Comments

In-place Computing Model: for Big and Complex Data

As we've seen how in-place and in-memory work differently, today we are sharing more fundamentals of in-place computing model. This models was designed to solve "Big and Complex Data," - not just about size but more about the complexity. We see many analytic cases today incorporate…

Continue

Added by Yuanjen Chen on January 13, 2014 at 12:30am — 2 Comments

The Data Triangle: A Simple Framework For Data

In my latest video blog, I provide an overview of a simple framework that I developed to discuss data.  You can view it here:

http://themainstreamseer.blogspot.com/2014/01/the-data-triangle-simple-framework-for.html

Added by Venky Rao on January 11, 2014 at 7:21am — No Comments

10 ways for Banks to achieve greater profit and customer satisfaction

While Banks are getting more and more pressure from customer’s increasing demand, highly competitive market and strict regulations – in the current environment, understanding customer behavior, attitudes and requirements is more vital than ever for banks’ strategic thinking, operational planning and day-to-day customer treatment, according to Ernst & Young.

 

 

What Banks can do?

 

  1. Product Bundling and Relationship Pricing – Banks…
Continue

Added by Mousumi Ghosh on January 9, 2014 at 1:01pm — No Comments

Data Science – the Foundation for Leading Banks

 

Now-a-days, Banking Industry is facing many challenges - rapidly changing consumer environment, rigorous regulatory guidelines, highly competitive environment, emergence of new channels to name a few.

 

With these great challenges come great…

Continue

Added by Mousumi Ghosh on January 9, 2014 at 12:56pm — No Comments

Weekly digest - January 13

Featured Articles

Continue

Added by Vincent Granville on January 8, 2014 at 11:00am — No Comments

The Data Science Association

Looks like a new association recently created. Their resource section (see extract below) looks very interesting.…

Continue

Added by Vincent Granville on January 8, 2014 at 10:27am — No Comments

Data Science for Business: Interview with NYU Stern’s Foster Provost

Interesting article. I have the same point of view, had the same problem and did the same thing:  

Provost noticed during his data classes that there weren’t any books he could recommend to his MBA students that taught the fundamental principles. They were either too granular and focused on the math, or else too…

Continue

Added by Vincent Granville on January 8, 2014 at 10:17am — No Comments

Viz - Does your water contain fluoride?

Here is the USA map visual by state showing what percentage of people received flouride in their water.

https://my.infocaptor.com/dash/mt.php?pa=fluoridation_statistics_52cac4f7e248c

Here is the data source …

Continue

Added by Nilesh Jethwa on January 7, 2014 at 11:00am — No Comments

Text Analytics: ‘Mangalyaan’ as Seen on Twitter

Social media and interplanetary mission -- what do they have in common? Well, they have in common the Mars Orbiter Mission, also known as ‘Mangalyaan’. It was launched on 5th November by the Indian Space Research Organization (ISRO). It generated a lot of interest across the globe among millions of people on Social Media networks. In this blog, we analyze how Twitterati reacted to this news.



Asia was by far the most interested in the subject, covering 74% of all…

Continue

Added by Ujjawal Bagaria on January 7, 2014 at 1:15am — 1 Comment

Blog Topics by Tags

Monthly Archives

2020

2019

2018

2017

2016

2015

2014

2013

2012

2011

1999

Videos

  • Add Videos
  • View All

© 2020   Data Science Central ®   Powered by

Badges  |  Report an Issue  |  Privacy Policy  |  Terms of Service