If you are looking for a very good book about machine learning look at this free on-line
Information Theory, Inference, and Learning Algorithms book.
About Me
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Filip Jurcicek
- I am interested in development of statistical methods for dialogue systems to resolve the inherent uncertainty in spoken speech. My main research interests lie in applying reinforcement learning and Bayesian techniques to dialogue management and natural language processing.
Before joining Charles University, I worked as a research associate at Cambridge University. My work involved development of statistical methods for spoken dialogue management, in particular POMDPs (Partially-Observable Markov Decision Processes). Prior that I worked as a software consultant in IT industry. I participated in projects implementing internet/IP telephony and automation of customer services.
I received my PhD degree in 2007 from the department of Computer Science at the University of West Bohemia in Pilsen (Czech Republic) on the subject of semantic parsing for spoken dialogue systems. During my PhD studies, I spent 10 months as a visiting scholar in the Center for Language and Speech Processing at The Johns Hopkins University (USA). Prior that I obtained a master's degree in Discrete Mathematics focused on closure techniques in Hamiltonian graph theory and a master’s degree in Computer Science on the subject of large vocabulary speech decoders for Czech language.
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