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Phd thesis on machine learning

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The central goal of the PhD program is to train students to perform original, independent research. The most important part of the curriculum is the successful defense of a PhD Dissertation, which demonstrates this research ability. The academic requirements are designed in service of this goal. Almost all of the courses in both the core and elective categories are already taught regularly at Georgia Tech.
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Phd thesis on machine learning
Phd thesis on machine learning
Phd thesis on machine learning
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Doctor of Philosophy - Wikipedia

This program differs from the standard Statistics Ph. Students in this track will be involved in courses and research from both the Departments of Statistics and Machine Learning. During the first year, students will normally be situated in and supported by the Department of Statistics. During later years, students will be located in the Department of their primary advisor.
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Pattern Recognition and Machine Learning

You will work under the supervision of Dr Vlad Niculae to investigate and improve the modelling of complex natural language phenomena through the lens of machine learning. Phenomena of interest include discourse and argumentation structures, conversation modelling, coreference, syntactic and semantic structure, multilinguality. We will rely on a selection of techniques from areas like optimization, sparsity, structured prediction, probabilistic modeling and geometry, in order to explore hypotheses about language and build better fitting and more scrutable models with fewer resources required. We will always put first the social and political impact of the technology we develop.
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