Xin J. Hunt has been working with the SAS Machine Learning Group since May, 2016. Xin received her M.Sc. and Ph.D. degrees in electrical and computer engineering from Duke University, Durham, NC, in 2013 and 2017, respectively. She received her B.S. degree in electronics engineering from Tsinghua University, Beijing, China, in 2011. She was a visiting researcher in the Wisconsin Institute of Discovery Optimization Group at the University of Wisconsin-Madison, Madison, WI, from 2014 to 2016. Her research interests include transfer learning and large scale data science, with special foci on high-dimensional and streaming data.
In the field of machine learning, online learning refers to the collection of machine learning methods that learn from a sequence of data provided over time. In online learning, models update continuously as each data point arrives. You often hear online learning described as analyzing “data in motion,” because it
This is the first in a series of posts about machine learning concepts, where we'll cover everything from learning styles to new dimensions in machine learning research. What makes machine learning so successful? The answer lies in the core concept of machine learning: a machine can learn from examples and
