Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
Intro to Deep Learning with Keras
Orchard View Room, Discovery BuildingHands-on introduction to the first steps in deep learning. This introduction covers the basics of deep learning in a practical and hands-on manner, so that upon completion, you will be able to train your first neural network and understand what next steps to take to improve the model. We start with explaining the basic concepts of neural networks, and then go through the different steps of a deep learning workflow. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-05-19-uwmadison-DeepLearningKeras/
UW Research Software Engineering (RSE) Community town hall
Wisconsin Institutes for Discovery, DeLuca ForumJoin the community and connect with others interested in Research Software Engineering (RSE) at the first UW RSE community town hall. The goal of the UW RSE community is to share ideas, methods, and best practices to improve the way we do and share research. The UW RSE community is open to anyone at UW–Madison engaged in, or interested in, research software engineering. CONTACT: rbemowski@wisc.edu
REU/Undergrad only Data Carpentry
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/
REU / Undergrad Only – Data Carpentry
Discovery Building 330 North Orchard Street, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems.
Geospatial Data Carpentry Workshop
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/
Geospatial Data Carpentry Workshop
Discovery Building 330 North Orchard Street, Madison, WI, United Stateshttps://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. If you’ve never used R before, or need a refresher, start with our Introduction to R for Geospatial Data lesson webpage.
REU/Undergrad only Data Carpentry
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/
Geospatial Data Carpentry Workshop
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/
REU/Undergrad only Data Carpentry
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/
Geospatial Data Carpentry Workshop
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/
REU/Undergrad only Data Carpentry
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. Data Carpentry develops and teaches workshops on the fundamental data skills needed to conduct research. Its target audience is researchers who have little to no prior computational experience, and its lessons are domain specific, building on learners' existing knowledge to enable them to quickly apply skills learned to their own research. Participants will be encouraged to help one another and to apply what they have learned to their own research problems. CONTACT: facilitator@datascience.wisc.edu URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-reudc/
Geospatial Data Carpentry Workshop
Orchard View Room, Discovery BuildingFundamental Data Skills Workshop. The goal of this workshop is to provide an introduction to core geospatial data concepts and dive into working with raster/vector data, including how to open, work with, and plot vector and raster-format spatial data in R. Additional topics include working with spatial metadata (extent and coordinate reference systems), reprojecting spatial data, and working with raster time series data. This lesson assumes you have some knowledge of R. CONTACT: facilitator@datascience.wisc.ed URL: https://uw-madison-datascience.github.io/2025-06-02-uwmadison-dc-geospatial/