Do you have access to lots and lots of test, development, app, and service data—really big data—from client and cloud service log files, test execution results, and more? Then, you have a great opportunity to begin using data analytics and machine learning (ML) to gain new product quality insights. Bring your laptops and your sense of discovery as Ken Johnston and Eun Change introduce analysis techniques and ML tools to help you develop new and potentially groundbreaking insights. First, they present a fast-paced statistics primer for those with no prior data exploration experience and...
Ken Johnston
Microsoft
A principal manager on the Microsoft core data science team, Ken Johnston and his team focus their research on Windows post sales monetization and device usage within the commercial and education segments. Since joining Microsoft in 1998, Ken has held roles of group program manager for Bing Data Quality and Measurements, group manager for Bing Shopping and Data Operations, test lead and test manager on MSN, and director of test excellence. Ken coauthored How We Test Software at Microsoft and is a contributing author to Experiences of Test Automation: Case Studies of Software Test Automation. Contact Ken on Twitter.