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X-WR-CALDESC:Events for Data Science Initiative
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SUMMARY:Advanced Predictive Modeling with Python
DESCRIPTION:Learn more about the practice of predictive modeling using Python. \n \nDescription: \n \nLearn more about the practice of predictive modeling using Python. \nTo find out about future one-day courses\, please join our mailing list. \nThis course builds upon Predictive Modeling with Python\, covering best practices for building predictive models that perform well in noisy\, real-world domains. Feature learning/engineering and model ensembling will be the focus of the course. Examples and exercises will be implemented using iPython notebooks and the SciKit-Learn library. Participants must have taken Predictive Modeling with Python or obtain instructor permission to enroll. \nThis course is targeted primarily at graduate students who have not already taken a full course in machine learning. \nDate: March 2\, 2017 \nTime: 9 a.m. to 5 p.m. with lunch provided \nLocation: Donald Bren Hall\, Room 4011 \nInstructors:Eric Nalisnick \nPrerequisites: Predictive Modeling with Python or equivalent. To understand the more theoretical aspects of the course\, it is recommended to have knowledge of linear algebra\, probability\, and calculus. \nFor course materials and more information\, check out the \nsoon-to-be-updated Workshop page. \n 
URL:https://datascience.uci.edu/event/advanced-predictive-modeling-python/
CATEGORIES:Data Science Event
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DTSTART;TZID=America/Los_Angeles:20170303T090000
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SUMMARY:Natural Language Processing with Python
DESCRIPTION:This course introduces Natural Language Processing to users familiar with Python.\n \nThis course will introduce fundamental concepts in NLP including word and document representation\, text processing\, document classification\, document similarity\, and clustering\, and dimensionality reduction. \nDate: March 3\, 2017 \nTime:9 a.m. to 12:30 p.m. \nLocation: Donald Bren Hall\, Room 4011 \nInstructor: Garren Gaut\, UC Irvine \nPre-requisites: 1) A previous course in programming is strongly recommended. Experience with basic machine learning is recommended.
URL:https://datascience.uci.edu/event/natural-language-processing-python/
CATEGORIES:Data Science Event
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