Data Analytics and Machine Learning
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 Eun Chang introduce analysis techniques and ML tools to help you develop new and potentially groundbreaking insights. First, she will present a fast-paced statistics primer for those with no prior data exploration experience and others looking for a refresher in descriptive statistics. With that foundation, Eun will introduce machine learning and walk you through foundational ML algorithms. She will demonstrate several open source ML tools that you can start using right away. Leave with an understanding of the what, why and how of data analytics—and a jumpstart on your machine learning journey.
Note: Participants are encouraged—but not required—to bring a laptop computer to this tutorial.
Eun Chang is a lifelong learner, an avid consumer of new technologies, and a data scientist at Microsoft specializing in machine learning. In her career at Microsoft, Eun has driven a number of projects focusing on Windows post sales monetization and enterprise device usage. Her research uses a broad spectrum of techniques ranging from statistical inference to deep learning. Eun is thrilled when a seemingly simple problem results in a novel, mathematically intricate solution. Her current work involves incorporating neural networks into areas such as feedback classification and community detection. Contact Eun via email or on LinkedIn.
Ken Johnston is a frequent keynote presenter, trainer, blogger, and author on software testing and data science. Currently he is the principal data science manager for the Microsoft 360 Business Intelligence Group (M360 BIG). Since joining Microsoft in 1998 Johnston has shipped many products, including Commerce Server, Office 365, Bing Local and Segments, and Windows. For two and a half years he served as the Microsoft director of test excellence. He earned his MBA from the University of Washington, is a coauthor of How We Test Software at Microsoft, and is a contributing author to Experiences of Test Automation: Case Studies of Software Test Automation. You can contact him through Twitter @rkjohnston or read his blogs on data science management on LinkedIn.