Mark Seiss, Dun & Bradstreet - Importance of Domain Expertise for Building ML Based Models скачать в хорошем качестве

Mark Seiss, Dun & Bradstreet - Importance of Domain Expertise for Building ML Based Models

This video was recorded in San Francisco on February 5th, 2019. Slides from the video can be viewed here: https://www.slideshare.net/0xdata/mar... Mark Seiss is a director in the Advanced Analytic Services (AAS) group at Dun and Bradstreet. As a resource stationed in the Government Solutions office in Reston, VA, Mark often works with the Government Sales team to show the value of D&B’s data and analytics to U.S. government agencies and contractors. More recently, he has also devoted his time to supporting research applicable all verticals at Dun and Bradstreet, including initiatives focusing on Cyber Security Risk and Machine Learning Strategy. Prior to joining Dun and Bradstreet in 2013, Mark spent 9 years working as mathematical statistician at the US Census Bureau, conducting estimation for the Decennial Census, Census Coverage Measurement, and American Community Survey operations. Mark holds a B.S. and M.S. in Mathematics from Virginia Tech, M.S. in Statistics from George Washington University, and Ph.D. in Statistics from Virginia Tech. As part of his doctorate program, Mark worked in the Laboratory for Interdisciplinary Statistical Analysis, where he collaborated with clients on over 100 statistical projects.