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DTSTAMP:20240618T123131
DTSTART;TZID=America/Detroit:20240603T130000
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SUMMARY:Careers / Jobs:Explore a Career in Education at Uncommon Schools !
DESCRIPTION:Uncommon Schools is thrilled to host an Information Sessionon Handshake. Join us to explore exciting career opportunities in education. Our event is entirely virtual\, making it easy for students to engage with recruiters and explore open positions without leaving their homes. We'll provide an informative and interactive platform that will allow you tolearn more about Uncommon Schools and our mission to close the achievement gap in public schools. Plus\, we have multiple open positions in Newark\, New Jersey\, where we are committed to supporting students and families in underserved communities. Don't miss this chance to connect with our recruiter and take the first step toward a fulfilling career with Uncommon Schools. Register now to attend our Virtual Information Session and discoveryour passion for education. We can't wait to meet you!  
UID:122421-21849174@events.umich.edu
URL:https://events.umich.edu/event/122421
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:
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DTSTAMP:20240416T150213
DTSTART;TZID=America/Detroit:20240603T130000
DTEND;TZID=America/Detroit:20240603T150000
SUMMARY:Class / Instruction:Machine Learning for Social Science - Summer Institute in Survey Research Techniques
DESCRIPTION:Machine Learning for Social Science\nBrian Kim\n\nJune 3-14\, 2024\nM/W/F (1:00pm-3:00pm)\n\nClasses are open for registration. You do not have to be affiliated with the University in order to attend. \n\nThe mission of the Summer Institute in Survey Research Techniques (SISRT) is to provide rigorous and high quality graduate training in all phases of survey research. The program teaches state-of-the art practice and theory in the design\, implementation\, and analysis of surveys. \n \nSpace is limited so please register early! Since our courses are not for academic credit\, fees are based on the number of assigned “course hours” to each class.\n\nPlease view the 2024 course schedule for our extensive class offerings. Classes are offered remotely at their scheduled times.\n\nThis course provides an introduction to supervised statistical learning techniques such as decision trees\, random forests and boosting and discusses their potential application in the social sciences. These methods focus on predicting an outcome Y based on some learned function f(X) and therefore facilitate new research perspectives in comparison with traditional regression models\, which primarily focus on causation. Predictive methods also provide a valuable extension to the empirical social scientists’ toolkit as new data sources become more prominent. In addition to introducing supervised learning methods\, the course will include practical sessions to demonstrate how to tune and evaluate prediction models using the statistical programming language R.
UID:121513-21846643@events.umich.edu
URL:https://events.umich.edu/event/121513
CLASS:PUBLIC
STATUS:CONFIRMED
CATEGORIES:Anthropology,Basic Science,Center For Political Studies,Computer Science,Data,Data Collection,Data Curation,Data Management,Data Science,Economics,Health Data,Kinesiology,Mathematics,Political Science,Psychology,Research,Science,Social,Social Science,Social Sciences,Sociology,Survey Methodology
LOCATION:Off Campus Location
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