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ESP Biography



IGNACIO THAYER, ESP Teacher




Major: Computer Science

College/Employer: Google, Inc

Year of Graduation: G03

Picture of Ignacio Thayer

Brief Biographical Sketch:

Not Available.



Past Classes

  (Clicking a class title will bring you to the course's section of the corresponding course catalog)

C327: Solving Problems with Probabilistic/Statistical Algorithms in Splash! Spring 2009 (Apr. 04 - 05, 2009)
Ever wondered how Amazon recommends you books, or how Netflix suggests movies, or how Google translates between 40+ different languages without any human intervention? Behind all these systems are algorithms based on statistics and probability. In this class you will learn the fundamentals of probability theory and, most importantly, how it applies to modeling uncertainty in real-world problems. After learning the basics, you will get a very close look at how simple probability concepts can be applied to solving a very complex task of Machine Translation (i.e. translating text from one language to another). Briefly about your teachers: Ignacio and Anton have worked on Google’s Machine Translation project for almost 3 years. This technology is made public via http://translate.google.com and currently enables millions of users to read foreign content in their native language.


C156: Solving Problems with Probabilistic/Statistical Algorithms in Splash! Fall 2008 (Oct. 18, 2008)
Ever wondered how Amazon recommends you books, or how Netflix suggests movies, or how Google translates between 35 different languages without any human intervention? Behind all these systems are algorithms based on statistics and probability. In this class you will learn the fundamentals of probability theory and, most importantly, how it applies to modeling uncertainty in real-world problems. After learning the basics, you will get a very close look at how simple probability concepts can be applied to solving a very complex task of Machine Translation (i.e. translating text from one language to another). Briefly about your teachers: Ignacio and Anton have worked on Google's Machine Translation project for almost 3 years. This technology is made public via http://translate.google.com and currently enables millions of users to read foreign content in their native language.