Will You Graduate? Ask Big Data
At Georgia State’s nursing school, the faculty used to believe that students who got a poor grade in “Conceptual Foundations of Nursing” pro
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22 Quotes of Analytics Wisdom Straight From The Experts
Understanding analytics is at the heart of successful conversion optimization, because you need to measure what’s happening so that you know
How to Collect Big Data
Yes we know that you will be having a lots of queries such as Collection of Big Data, How organizations gather Big Data, how to gather infor
Are Lottery Winning Numbers Really Random?
Most analytic people would agree that lottery is a tax on the innumerate. However, for this statement to be true, we need to assume that win
Sort it Out. The need for Customer Centric Merchandising Assortments.
Retailers are under tremendous pressure because of channel proliferation, fickle consumers, increasing price sensitivity and lack of brand l
Analytics industry pulse winter 2017
Intelligence powered by algorithms is the center of our digital universe.Advanced analytics, machine learning-powered, autonomous business p
4 Easy Steps to Structure Highly Unstructured Big Data, via Automated Indexation
You have gathered gigabytes or terabytes of unstructured text, for instance scraping the Internet, or pieces of email from your employees or
Difference between Machine Learning, Data Science, AI, Deep Learning, and Statistics
In this article, I clarify the various roles of the data scientist, and how data science compares and overlaps with related fields such as m
What Does A Data Scientist Really Do?
The world of big data and data science can often seem complex or even arcane from the outside looking in. In business, a lot of people by no
How data and analytics can improve education
Schools have long amassed data: tracking grades, attendance, textbook purchases, test scores, cafeteria meals, and the like. But little has
21 data science systems used by Amazon to operate its business
Most of these systems are or should be used by most large organizations, for business optimization.
BIG Data & Analytics, Data Science, Machine Learning - Random Insights!
BIG Data & Analytics, Data Science, Machine Learning - Random Insights!
7 Ways to Perplex a Data Scientist
On the heels of a report showing the inefficacy of government-run cyber security, it’s imperative to understand the limitations of your syst
Real Time Predictive Models – Are They Possible?
At least one instance of Real Time Predictive Model development in a streaming data problem has been shown to be more accurate than its batc
What statisticians think about data scientists
Interesting to read what some statisticians write about data science, on the American Statistical Association (ASA) blog. Most of us don'
5 Ways to Get Fired as a Data Scientist
Okay, that headline was meant to get your attention. But lately, I've been thinking about this crazy circus we call data science and how
Schools, Government Agencies Move to Share Student Data
The struggle to protect students' privacy while making use of the data collected on them in school has for years been focused on the rol
Adding Humans Back Into Your Big Data Insights
Most businesses have a goal to be a data-driven organization. It’s an admirable goal, one that can bring a notable amount of benefits and ad
How Big Data is Changing the World of Soccer
Did you know that athletes are not only monitored by cameras on stadiums, but also by many quirky devices such as accelerometers, heart rate sensors and even local GPS-like systems? Indeed, Big Data and modern technologies are currently revolutionizing sports and even powering the Fantasy Sports industry. Sports clubs, media outlets and fans around the world all share a thirst for advanced statistics and information. Big clubs use them to improve the performance of their own
Digital Tools Evolving to Track Students' Emotions, Mindsets
The race is on to provide students with personalized learning experiences based on their individual emotions, cognitive processes, "mindsets," and character and personality traits. Academic researchers, for example, are busy developing computerized tutoring systems that gather information on students' facial expressions, heart rate, posture, pupil dilation, and more. Those data are then analyzed for signs of student engagement, boredom, or confusion, leading a computer avatar