In 1980 I taught the Fluids, Heat, and Waves laboratory course, at Universidad Autónoma de Puebla. I had taken Statistical Mechanics at the Physics Department of the University of California, Santa Barbara, and at Departamento de Física, of the Instituto Politécnico Nacional, Centro de Investigación y de Estudios Avanzados, in Mexico.
Now I am going to take the Artificial Intelligence Course CS188.1x, at the University of California Berkeley, through Coursera.
Furthermore, as I've written before on this blog, I believe, that most of what we call Theoretical Physics, is Applied Statistics. We measure, we fit, we propose formulas and computer programs, and do it again, and again, getting a better fit to data.
Professor Leo Breiman, from Berkeley, pursued his study of Statistics there, until his death.
Now it is my turn.
Dan Klein
Dan Klein (PhD Stanford, MSt Oxford, BA Cornell) is an associate professor of computer science at the University of California, Berkeley. His research focuses on natural language processing and using computational methods to automatically acquire models of human languages. Examples include large–scale systems for language understanding, information extraction, and machine translation, as well as computational linguistics projects, such as the reconstruction of ancient languages. One of his best–known results was to show that human grammars can be learned by statistical methods. He also led the development of the Overmind, a galaxy–dominating, tournament–winning agent for the game of Starcraft. Academic honors include a Marshall Fellowship, a Microsoft Faculty Fellowship, a Sloan Fellowship, an NSF CAREER award, the ACM Grace Murray Hopper award for his work on grammar induction, and best paper awards at the ACL, NAACL, and EMNLP conferences.
