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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:8:00 a.m. E.D.T. / 12:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from the information session here. The video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august4/
LOCATION:Zoom Webinar
CATEGORIES:Education,Info Session
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DTSTART;TZID=America/Detroit:20200818T140000
DTEND;TZID=America/Detroit:20200818T163000
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SUMMARY:Introduction to Deep Neural Networks with Keras/TensorFlow
DESCRIPTION:A BlueJeans link will be sent to all registered participants.\n\nDeep Neural Networks (DNNs) are used as a machine learning method for both regression and classification problems. Keras is a high-level\, Python interface running on top of multiple neural network libraries\, including the popular library TensorFlow. In this workshop\, participants will learn how to quickly use the Keras interface to perform nonlinear regression and classification with standard fully-connected DNNs\, as well as image classification using Convolutional Neural Networks (CNNs). We will also look at regularization techniques and how to deal with under- and over-fitting. All examples will use Python; some familiarity with Python is recommended.\n\nThe workshop will be done online via BlueJeans. We will run the models using Google Colab\, which requires a Google account.
URL:https://micde.umich.edu/event/introduction-to-deep-neural-networks-with-keras-tensorflow-7/
LOCATION:Your Desktop
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20200819T140000
DTEND;TZID=America/Detroit:20200819T160000
DTSTAMP:20230905T171250Z
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SUMMARY:Building Better Data-Driven Products
DESCRIPTION:This workshop will introduce participants to using R for presenting data-driven results\, with an eye toward reproducible methods. After an introduction to concepts related to reproducible programming and research\, demonstrations of standard R markdown as well as overviews of different formats will be provided\, including exercises. \nPrereq:  Some basic experience using R is required. \nLink: http://m-clark.github.io/data-processing-and-visualization/ \n\n\n\n 
URL:https://micde.umich.edu/event/building-better-data-driven-products/
LOCATION:Your Desktop
CATEGORIES:Workshops
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DTSTART;TZID=America/Detroit:20200820T160000
DTEND;TZID=America/Detroit:20200820T170000
DTSTAMP:20230905T171250Z
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SUMMARY:Graduate Studies in Computational & Data Sciences Info Session
DESCRIPTION:4:00 p.m. E.D.T. / 8:00 p.m. G.M.T. | ZOOM EVENT | REGISTER HERE\nLearn about graduate programs that will prepare you for success in computationally intensive fields\, and how you can enroll if you won’t be on campus this academic year. Registration is required. \n\nThe Ph.D. in Scientific Computing is open to all Ph.D. students who will make extensive use of large-scale computation\, computational methods\, or algorithms for advanced computer architectures in their studies. It is a joint degree program\, with students earning a Ph.D. from their current departments\, “… and Scientific Computing” — for example\, “Ph.D. in Aerospace Engineering and Scientific Computing.”\nThe Graduate Certificate in Computational Discovery and Engineering trains graduate students in computationally intensive research so they can excel in interdisciplinary HPC-focused research and product development environments. The certificate is open to all students currently pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Computational Neuroscience trains the next generation of interdisciplinary neuroscientists. The certificate program is open to all students pursuing Master’s or Ph.D. degrees at the University of Michigan.\nThe Graduate Certificate in Data Science is focused on developing core proficiencies in data analytics:\n1) Modeling — Understanding of core data science principles\, assumptions and applications;\n2) Technology — Knowledge of basic protocols for data management\, processing\, computation\, information extraction\, and visualization;\n3) Practice — Hands-on experience with real data\, modeling tools\, and technology resources.\n\nView the presentation from this event here. A video recording is coming soon!
URL:https://micde.umich.edu/event/info-session-august20/
LOCATION:Zoom Event\, MI\, United States
CATEGORIES:Education,Info Session
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