Everyday we use applications that leverage predictive analytics to provide us with meaningful content, help us buy product, or protect us from spam. Here are 5 common yet relatively unnoticed uses in our daily lives. 1. Google Suggest Google has simplified online search and made it accessible to the masses. Google Suggest – that drop down list you see below the search input box once you start typing– leverages predictive Analytics to give out query recommendations in real-time. Initially intended…
"5 Everyday Uses of Predictive Analytics"Author: Aly Chiman
Aly Chiman
More than 90% of automobile accidents result from human error. 30% from phone use alone. These are staggering numbers and it’s no wonder personal and corporate insurance premiums continue to rise. A company called Zendrive hopes to improve driving for everyone through better data and analytics. Zendrive takes a unique approach to data capture by using the sensors on a smartphone to measure anyone’s driving behaviour. When captured, they apply machine learning algorithms to turn that data from the phone’s…
"Safer Roads through Analytics – Zendrive"The opportunity that dig data provides now allows organizations to infer a lot more about someone’s future by analyzing the past of that same person’s cohort. So, while good clean data is an important step, we must remember that dig data has changed the game when it comes to analytics and particularly predictive analytics. A lot more can be analyzed and correlated, sometimes making the idea of ‘sample analysis’ a thing of the past. What…
"Predictive Modeling in Healthcare"
When we as humans seek to understand something and make a decision we go through four key steps. First, we observe visible phenomena and bodies of evidence. Second, we draw on what we know to interpret what we’re seeing to generate hypothesis about what it means. Third, we evaluate which hypothesis are right or wrong. Finally, we decide, choosing the option which seems best and acting accordingly. Just as humans become experts by going through…
"Primer on Cognitive Computing"
Predictive modeling is a way of finding patterns and relationships in existing data and using those to predict what will happen in spaces where data isn’t available. Good predictive modeling has become a vital component of many fields and professions. An organization has a problem it needs to solve and a cache of data about that problem. For example, a supermarket might like to know when its customers are likely to return to the supermarket…
"Kaggle Games-Up Data Science"