Before you select the best model based on your favorite goodness of fit statistic – Mean Squared Error, Gini, K-S, AUC, or misclassification rate – STOP! Model performance metrics are not a one size fits all measure. As an analyst, selecting the right performance metric might mean the difference between having an exceptionally good result, and having no result.
The classic example: There is only a 3% prevalence of the event of interest in my…Continue
Added by Laura E. Wood Squier on October 24, 2013 at 8:00am — No Comments
This is my first post here. I'm glad to introduce this newly launched big data analytic engine, the BigObject. In the past 2 years we have been working on an optimal approach to handle big data for analytic purposes and challenging the existed models, some assumptions of which are no longer valid. For example, as the data size grows so rapidly, is it still practical that we stick to the relational models neglecting the time spending in data retrievals? What impact did…Continue
Click on the image for full view
Here is a refresher from the last post:
“I went on a job board and searched for the number of job postings that listed Big Data tools as part of the requirements.”
I created a comprehensive list for Big Data skills in response to the…Continue
A mathematical problem related to big data was solved by Jean-Francois Puget, engineer in the Solutions Analytics and Optimization group at IBM France. The problem was first mentioned on Data Science Central, and an award was offered to the first data scientist to solve it.
Bryan Gorman, Principal Physicist, Chief Scientist at…Continue
While discussing the value of Big Data in helping to shape a customer-centric brand in my last Intel IT Center article,…Continue
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 …Continue
Our modern lives are driven by computers. Machines grade your child’s standardized tests and identify potentially fraudulent credit card purchases. Behind the scenes of modern society even more machines are creating staggering amounts of unstructured data. Much of it is stored, but almost none of it is analyzed. Keeping these networks running requires that analysts not only be able to understand the streaming network data, but that they understand it as it happens.
Machine log data is…Continue
Added by Radhika Subramanian on October 22, 2013 at 10:02am — No Comments
Added by Timothy Wiles Fowler on October 21, 2013 at 9:35am — No Comments
I am a student currently pursuing a course on analytics from Ivy Professional School. I am curious to know what are the future prospects in this field & jobs available for freshers who does not bear a stats background.
I would be highly obliged if professionals & recruiters could throw some insight on the above mentioned topic
Added by Suvadeep Basu on October 21, 2013 at 7:56am — No Comments
Practicing Data science indeed a long term effort than a learning handful of skills. We ought to be academically good enough to take up this challenge. However, if you think you came a long way from your academic rebuilding, but you still have that zeal & passion to take the oil from the data and fill the skill gap of data science then here is the warm-up tips. Below points must exercised before jumping into…Continue
Added by Manish Bhoge on October 18, 2013 at 9:26am — No Comments
Added by piALGO on October 17, 2013 at 8:32am — No Comments
Recently, I was asked about the role of I/O Psychologists in HR analytics and this whole "big data" movement. And so what I am learning as I researched the topic, and just as I had suspected, is that there are many others in the I/O Psychology field who are also involved in HR analytics and big data. I think I/O Psychologists are in a very favorable position in this big data movement. The required graduate-level statistics courses are really helpful in preparing I/O…Continue
Added by B.J. Gonzalvo, PhD on October 16, 2013 at 8:28pm — No Comments
This is a component often missing, yet valuable for most systems, algorithms and architectures that are dealing with online or mobile data, known as digital data: be it transaction scoring, fraud detection, online marketing, marketing mix and advertising optimization, online search, plagiarism and spam detection, etc.
Posted on AnalyticBridge over the last few years, related to analytics, data science, big data, statistics, visualization. Feel free to add yours.…Continue
Added by Vincent Granville on October 16, 2013 at 12:30pm — No Comments
Each blow costs the Oil and Gas industry a Billion dollars.…
Romance and big data have a lot more in common than you might think. Though the world of tech and data may seem an odd place to uncover love, both online dating and big data work to personalise what a person or brand has to offer, matching and targeting it uniquely to appeal to that one special individual who'll want exactly what’s being advertised.
In many cases for both singles on the dating market and brands on the commercial one, achieving success – using big data to successfully…Continue
Like “Big Data”, the term “Cloud Computing” has given rise to a number of misconceptions concerning what it is and what it does. While many of these delusions have been sufficiently debunked, a number of mistaken beliefs about the cloud have managed to keep hanging around---attaining mythical status despite being laid bare on more than a few blogs designed to dismiss them once and for all. And so, culled from the blogosphere for your consideration comes this non-biased compilation of the top…Continue
Enjoy reading these 10 articles, recently publishedContinue
Added by Vincent Granville on October 10, 2013 at 8:30pm — No Comments
Added by Vincent Granville on October 10, 2013 at 8:00pm — No Comments