Companies are directing a lot of resources towards data mining and data analytics. Analysis of big data can help improve a business’s online marketing strategy,…Continue
Added by Jack Dowson on August 25, 2015 at 9:44pm — No Comments
v0.2 of the application.
The analysis and discussion over the last few months on data integrity have finally positioned me to do some basic analysis of the NOAA data. Undoubtedly, as you look through the data in the interactive program below, you will see things that cause you to question the data. If you have the time, and the interest, please go back and read through my earlier posts on …
Added by Randall V Shane on August 22, 2015 at 7:07am — No Comments
The congeries of Digital large scale data is growing in every second in the world, it making the changes in technology and organization growth day by day.
"The speed at which people making data is expeditiously outdo our ability to analyze big data," Executive Director of the University College of London's Big Data Institute, Professor Patrick Wolfe, says Business Insider. "The tactics to turn large data flow from a liability into a power." We can say 0.5% of all over data is…
Added by kyvos insights on August 22, 2015 at 2:00am — No Comments
Google's BigData Library project of over 30 million scanned documents contains newly easily discovererable text searchable information, in previously neglected books and articles.
Using the ID research method (read the free sample chapter 2 of my book Nullius in Verba to find out how its done) I found numerous publications, which uniquely 100 per cent disprove the…Continue
Added by Dr Mike Sutton on August 14, 2015 at 7:00am — No Comments
While many of us recognize that companies are empowered by actionable information penetrations and help drive sales, devotion and superior customer experiences, the thought of making sense of enormous quantities of information and undertaking the task of unifying is daunting. But that is slowly changing. Experts forecast that this year, budgets will be allocated by most companies, and that 2015 will undoubtedly be the year of big data and discover the best tools and resources to really…Continue
Added by Ayush Sharma on August 5, 2015 at 11:51am — No Comments
If you’re relatively new to Machine Learning and it’s applications, you’ll more than likely have come across some pretty technical terms that are often difficult for the novice mathematician/scientist to get their head around.
Following on from a previous blog, (10 Common NLP Terms Explained for the Text Analysis Novice), we decided to put together a list of 10 Machine…Continue
"In fact men will fight for a superstition quite as quickly as for a living truth - often more so, since a superstition is so intangible you cannot get at it to refute it, but truth is a point of view, and so is changeable."
On the 1st of July, I…Continue
Added by Martyn Jones on July 23, 2015 at 5:18pm — No Comments
Over the past several years, companies have moved from simply asking where to get the data from to support their decisions, to asking how they are going to leverage it to create actionable insights.
Predictive analytics use statistical or machine-learning techniques to analyze current and historical facts, and find relationships and patterns that can be used to predict…Continue
Added by Sam Button on July 13, 2015 at 6:09am — No Comments
R has become a massively popular language for data mining and predictive model building with over two million users worldwide. The wide adoption of R has to do with the fact that it is available as open source, runs on most technology platforms and is commonly taught in academic institutions in courses with significant components of data science, machine learning and statistics. A recent study found that R is now cited in academic papers more often then SAS and SPSS, a change from previous…Continue
Added by Mark Rabkin on July 11, 2015 at 4:41am — No Comments
The figure titled "Data Pipeline" is from an article by Jeffrey T. Leek & Roger D. Peng titled, "Statistics: P values are just the tip of the iceberg. These are both well known scientists in the field of statistics and data science, and for them, there is no need to debate the importance of data integrity; it is a fundamental concept. Current terminology uses the term "tidy data", a phrase coined by Hadley Wickham from an article by the same name. Whatever you…Continue
It will come raw, naked and dirty. But before you clean, clothe and tame this beast, It would be a good idea to assess its value in domesticating it.
Big Data Junk Yard strategy lets you play around with big data in its natural form. The approach allows enough runway for technology to ramp up infrastructure and for business to find right use cases through data discovery. It’s easy, economical and quicker way to get on the big data band wagon.(…Continue
Added by Ashu Kumar on July 2, 2015 at 5:02am — No Comments
BASICS: DEFINING BIG DATA AND RELATED TECHNOLOGIES.
According to Gartner.com , Big Data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing for enhanced insight and decision making.
Are there examples of Big Data in action at major global IT giants?…Continue
Added by Christopher Alvin Mokaya on June 14, 2015 at 11:00am — No Comments
When we talk about Big Data, many of the examples and use cases we share center around how Big Data is changing the way businesses must operate. But Big Data is changing the world on some exciting global levels as well. So let’s…Continue
Added by Larisa Bedgood on June 8, 2015 at 5:51am — No Comments
We have witnessed the rise of Key & Value pair, since the emergence of Big Data. We certainly can explore the relationship of such two variables in terms of X & Y, to be worked with in terms of using Data Science. The use of Regression also on basic terms gives an a depiction of two variables X & Y to work with. These variables are:
Independent Variables & Dependent Variables
Let us take behavior of users of a…Continue
Added by Atif Farid Mohammad on May 25, 2015 at 6:00am — No Comments
Buzz words are one of my least favorite things, but as buzz words go, I can appreciate the term “Data Lake.” It is one of the few buzz words that communicates a meaning very close to its intended definition. As you might imagine, with the advent of large scale data processing, there would be a need to name the location where lots of data resides, ergo, data lake. I personally prefer to call it a series of redundant commodity servers with Direct-Attached Storage, or hyperscale computing with…Continue
We are all very fortunate to be alive during this exciting time in history. Some truly disruptive technologies are on the verge of exploding into reality and it is difficult to imagine what the future holds. With these new technologies, however, we must not ignore the technically sound practices that allowed us to reach this point – managing data integrity is one of those practices.
As promised from my last post, I will discuss the importance of data integrity in the…
Added by Randall V Shane on May 2, 2015 at 4:30pm — No Comments
A Big Top Circus has three main tents. What does this have to do with data? Many things. The Big Three, the Birth index, SSI index, and the Death index determine if you are an American or not. An entry in any one of these indexes is a reason for calling it what ever you want capitalism, freedom, justice, etc… Now if you are listed in all three indexes the privilege is unique. It is the privilege of being sold to the highest corporate bidder.…Continue
Added by Sigmond Axel on May 2, 2015 at 3:48pm — No Comments
Data is everywhere and growing. As a marketer, this is a dream world. Your audience is generating tons of data from your web visits, mobile apps and you have partners giving you data. This is rich customer journey data.
However commonly used terms like Big Data and Analytics can mask the complexity of realizing your ROI gained from analyzing all this data. The promise of the visual tools and Hadoop based platforms is all great but if you don't have a data strategy in place all the…Continue
Added by Sri Desikan on April 27, 2015 at 1:05pm — No Comments
Good day and my warmest hellos from Montreal, Canada to all members of the Data Science Central virtual community.
I have recently joined this very interesting, bountiful and multi-sub-disciplinary web site in the data science field and admittedly I’m still exploring all of its numerous knowledge facets.
In order to introduce myself to all of you I thought it would be à propos to use the project I’m currently working on as a window to my expertise, which compared to all of you,…Continue
Retailers know they need Big Data and are charging forward to get in the game. But many retailers continue to face challenges. What type of data should be collected? How should the data be used to generate insights? How do I measure ROI?
101data recently surveyed US retailers, across a range of sizes. When asked about which processes would be most impacted by Big Data technology, 50% stated that targeted offers and promotions would have the biggest…Continue
Added by Larisa Bedgood on April 23, 2015 at 7:30am — No Comments