Machine Learning: The Last 20 Years and the Next
Pedro Domingos (Emeritus - University of Washington)
Emeritus Lecture
Thursday, October 20, 2022, 3:30 pm
Abstract
The last 20 years were eventful ones in machine learning, and the Allen School played a big part. In this talk I will briefly look at seven fields we helped start or grow: massive-scale learning, adversarial learning, influence maximization in social networks, machine learning for data integration, statistical relational learning, symmetry-based learning, and deep learning. In each case I will tell the story of how it came about, summarize the main results, and lay out today's challenges and research frontiers. I will also touch on how we helped develop machine learning education and popularize it into the technological, economic and cultural force it is today, and speculate on where it might be headed.
Bio
Pedro Domingos is Professor Emeritus of Computer Science & Engineering at the University of Washington's Allen School, and the author of The Master Algorithm, the worldwide bestseller introducing machine learning to a broad audience. He is a winner of the SIGKDD Innovation Award and the IJCAI John McCarthy Award, two of the highest honors in data science and AI, and a Fellow of AAAS and AAAI. His papers and systems have won ten awards at major AI conferences. He co-founded the International Machine Learning Society in 2001.
This talk will be streamed live on our YouTube channel.