Time is fast running out for G-SIBS (and indeed D-SIBS) to demonstrate compliance with the principles of BCBS 239. Many surveys have been conducted by firms such as EY, McKinsey and Deloitte – none of which paint a particularly pretty picture in terms of readiness. Most suggest that the majority of banks will only be able to demonstrate compliance with between 25% and 60% of the listed principles by the January 2016 deadline. Why is this?
At a recent industry event discussing…Continue
Added by James Phare on September 15, 2015 at 5:22am — No Comments
Analyse TB data using network analysis
In a very interesting publication from Jose A. Dianes on tuberculosis (TB) cases per country it was shown that dimension reduction is achieved using Principal Component Analysis (PCA) and Cluster Analysis (…Continue
Business professionals of all levels have asked me over the years what it is that they should know that their Data Science departments may not be telling them. To be candid, many Data Scientists operate in fear wondering what they should be doing as it relates to the business. In my judgment, the questions below address both…Continue
Are you running from one analysis to another? From one data visualization project, data modeling exercise, dashboard development, data quality analysis to another because there is high demand for your skills?
How big is your personal folder? Is it littered with spreadsheets, BI workbooks, and other scripts that were used for a one time…Continue
The HDFS design is totally based on the design of the GFS (Google File System). Its implementation addresses a number of problems that are present in a number of distributed filesystems such as Network File System (NFS). Specifically, the implementation of HDFS address are:
➤ To be able to store a Big amount of data (petabytes), HDFS is designed to expansion the data across a large number of systems, and to support more larger file sizes as compared to distributed filesystems like…Continue
I picked this topic for two reasons. First, I recently found out that CMS released their Part D Prescriber database for 2013. This dataset basically reports information on the drugs that individual physicians prescribed in 2013 under the Medicare Part D Program. Second, while talking to my colleagues at work I realized how much they wanted…Continue
Summary: Do you think we can replace Data Scientist with software?
Talk about a fraught concept, this one ought to give you the willies. I don’t mean to be a Luddite about the magical abilities of technology but the concept here is to replace data scientists with software.…Continue
Big Data is moving ahead with great strides in 2015 and is being used and represented across companies globally. The adoption rate of this…Continue
Added by William Vorhies on September 14, 2015 at 7:09am — No Comments
Added by Demnag on September 13, 2015 at 8:07pm — No Comments
We all know companies are collecting more and more data, and many are using it to come up with amazing insights. In fact just about every industry is going through rapid change thanks to harnessing the power of Big Data and smart analytics.
But is collecting huge amounts of data always a good thing? As you can guess from the title, my opinion is that it probably is not!…Continue
Many products or published articles based on data science are heavily regulated, and illegal to perform or publish or sell without a special license, especially in US. You may be doing research and development on a topic considered as classified by the US government. Here a few examples:
Guest infographics, originally posted on Udemy. It explains the concept, alternatives and career advice.
Added by Vincent Granville on September 13, 2015 at 10:47am — No Comments
I recall the first time I encountered the idea of "asset allocation" many years ago. As the argument goes, the perfect allocation of assets should lead to the greatest return possible in light of one's risk tolerance. Perhaps thousands of years ago, although I haven't studied this in any detail, somebody had the idea that dancing in just the right way might satisfy the spirits enough to cause it to rain. There is the similar notion of delivering the perfect incantation to invoke supernatural…Continue
Added by Don Philip Faithful on September 13, 2015 at 6:06am — No Comments
Technologies in the form of cloud computing, mobility, social networking and information management are prompting the industry of education to move beyond practices of management, administration and instruction that dominate the traditional brick-and-mortar paradigm. Students, CIOs, other education leaders and those who market solutions to education now live in a world of choice that is exemplified by:
Added by Sameer Dhanrajani on September 11, 2015 at 6:30pm — No Comments
Data Quality Procrastination, or DQP, affects…
Wearable technology is a type of device that is worn by a user and often includes tracking information related to their health and fitness which it can then upload to the cloud. Other wearable tech includes devices that have motion sensors and cameras to take photos and sync with your mobile devices. Wearable devices can be quite useful, but they may present a huge danger to your privacy.
So far, the market has consisted mainly of early adopter businesses…
Added by David Schwartz on September 10, 2015 at 10:26am — No Comments
Guest blog by: Dr. Charles “Chuck” Noon, a professor and Department Head of the Haslam College of Business at the University of Tennessee, Knoxville.
Peter Brand, the fictional sports analyst in the…Continue
Added by William Vorhies on September 10, 2015 at 9:08am — No Comments
Inspired by the development of semantic technologies in recent years, in statistical analysis field the traditional methodology of designing, publishing and consuming statistical datasets is evolving to so-called “Linked Statistical Data” by associating semantics with dimensions, attributes and observation values based on Linked Data design principles.
The representation of datasets is no longer a combination of magic words and numbers. Everything is becoming…Continue
Added by Andreas Blumauer on September 9, 2015 at 11:23pm — No Comments
Here are 15 libraries in various languages to help implement your deep learning algorithm.…