CANCELLED: Machine Learning Seminar: George Karniadakis (Brown)
RECEPTION: 3:00 p.m. SEMINAR: 3:30 p.m.
Data Dialogue with Josh Starmer, StatQuest: The Elements of StatQuest: How to clearly explain complex topics
Join URL: https://duke.zoom.us/j/536789668 Six years ago I published my first video on YouTube. Two people watched it. Today, my videos on statistics and machine learning have been watched over 10 million times. Viewers claim the videos helped them win data science contests, pass college and graduate school exams and obtain jobs. In this seminar, I'll give a brief history of my YouTube channel as well as reveal the secrets to its success. We'll talk about how to research new topics, how to break them into small, easily understood pieces and how to present the pieces in such a way that they are clearly understood.
CANCELED: MLBytes Workshop with Zillow
Natalia Hryniw works on the Economic Data and Produce team at Zillow as an applied scientist. She works on a variety of projects, including the Zillow Home Values Index (ZHVI) and anomaly detection and quality monitoring for Zillow's metric data (available on zillow.com/data.) She worked for startups before coming to Zillow, and received an AB in Physics from the University of Chicago and an MS in atmospheric sciences from the University of Washington. Saikat (pronounced Say-kit) Kanjilal works on the Economic Data and Product team at Zillow as a Principal Engineer focusing on infrastructure around machine learning and time series models, specifically around how to build repeatable and stable data pipelines around data with a focus on quality. He has worked for Adobe/Amazon/Microsoft as well the Climate corporation before coming to Zillow and has worked on things like Photoshop Server to Xbox gaming data infrastructure. He got his undergraduate in Mechanical Engineering at UW and received a Masters in Mechanical Engineering from Purdue and another Masters in Computer Science from Colorado State University.
CANCELLED: Data Dialogue: Barak Sober (Duke)
We will reschedule this talk for Fall semester 2020. Thank you!