MICDE Webinar Series: Gabriel Ehrlich, Director, Research Seminar in Quantitative Economics, University of Michigan
Modeling the Economic Outlook in the Time of COVID-19
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Events
Mapping tools to visualize COVID19 data
Your DesktopThis session will be held online, and presenters will be in touch with more information after you register. This workshop will help you learn the approaches and tools to visualize spatial data using R and QGIS. We will use the COVID19 data available at (https://github.com/nytimes/covid-19-data) and combine it with information from Census and other sources […]
R IV: Visualization
Your DesktopThis session will be held online, and presenters will be in touch with more information after you register. Visualizing the results of research is a key aspect in facilitating scientific communication to a broad audience. The focus of this workshop will be on using common tools in R for visualization, general concerns in producing visual […]
SRTI: Software For Cross-Language Real-Time Data Communication
Your DesktopA BlueJeans link will be sent to all registered participants. Computer software simulation is used in virtually every discipline. These programs virtually represent small components of real-world events and behaviors, and allow scientists to test different models to guide real-world research. However, these can be individually complex, and written in different computer languages and programs. It's […]
Introduction to Deep Neural Networks with Keras/TensorFlow
Your DesktopA BlueJeans link will be sent to all registered participants. Deep 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 […]
Mapping tools for COVID-19 data – II
Your DesktopThis is the second workshop in this series and will build on the material and the techniques covered in the first workshop. We will use COVID-19 data available here https://github.com/nytimes/covid-19-data, combine it with other data such as from Census and will learn about creating maps, including web maps, that involve more than one variable. We will […]
Introduction to Python’s NumPy library
Your DesktopA BlueJeans link will be sent to all registered participants. This workshop will introduce you to the NumPy library in Python, which is useful in scientific computing. We will cover NumPy’s n-dimensional array object and associated functions in depth, along with related linear algebra and random number capabilities. Some familiarity with Python is expected. The workshop will be […]
Efficient Data Exploration
Your DesktopTired of using `table` and `summary`? Or repeatedly using a `group_by %>% summarise` approach? Many are still using R inefficiently to summarize data, especially for presentation. However, data needs to be explored before modeling can take place, both to familiarize oneself with the strengths and limitations of the data, as well as to diagnose errors […]
Wear OS: Creating A Watchface For Your Android Smartwatch
Your DesktopA BlueJeans link will be sent to all registered participants. Smartwatches are multi-functional devices that can be worn on the wrist. They can read your heartbeat, notify you of messages from your phone, and can even tell the time! Google's "Wear OS" is a branch of the Android mobile operating system, and it encourages open app […]