Do you have data—lots and lots of really big data? Do you know what it’s telling you? Maybe your organization is stuck in dashboard mode, counting how many of this or that. And since you have big data, perhaps you even calculate an average every once in awhile. Therein lies the problem: Organizations don’t advance their use of big data. They just spend more time and money processing more data so they can count it just a little better. Ken Johnston helps you go beyond counting and into statistical relevance. This statistics primer is designed for those with no prior experience or those...
Eun Chang
Microsoft
Eun Chang is a lifelong learner, an avid consumer of new technologies, and a data scientist at Microsoft specializing in machine learning. As part of her career at Microsoft, Eun has driven a number of projects focusing on Windows post sales monetization and enterprise device usage. Her research utilizes a broad spectrum of techniques ranging from statistical inference to deep learning. She is thrilled when a seemingly simple problem results in a novel, mathematically intricate solution—training a supervised learning model without a training set was one such example. Her current work involves incorporating neural networks into areas such as feedback classification and community detection. Eun can be contact via email or on LinkedIn.