Big Data is not just the ability to store large amounts of data, more important is what we can do to the data in that large volume, how we use the data with such large vo...
Guest blog post byBill Vorhies Summary: The shortage of data scientists is driving a growing number of developers to fully Automated Predictive Analytic platforms. Some o...
A thought provoking series that gives my account of becoming a marketing data scientist hybrid during one of the most chaotic times in the marketing industry, the Big Dat...
Consider a problem where you are working on a machine learning classification problem. You get an accuracy of 98% and you are very happy. But that happiness doesn’t las...
Variable reduction is a crucial step for accelerating model building without losing the potential predictive power of the data. With the advent of Big Data and sophistica...
Poor data governance often leads to a failed data state. Too many times companies, and even silos within a company, ignore the importance of data governance. Such neglect...
If you are considering a Business Intelligence solution, you ought to give some consideration to the concept of Smart Data Visualization and review your prospective so...
This article was posted by Bob E. Hayes on Customer think. Bob, PhD is Chief Research Officer at Appuri. He a scientist, blogger and author on CEM and data science. Dat...
We expect that data scientists and analysts should be objective and base their conclusions on data. Now while the name of the job implies that “data” is the fundament...
Padma Shri (also Padmashree) is the fourth highest civilian award in the Republic of India, after the Bharat Ratna, the Padma Vibhushan and the Padma Bhushan. Awarded by ...