ML+X (Machine Learning Community) Event. CONTACT: endemann@wisc.edu URL: https://forms.gle/CuEF7J9Gm5Fs5MB67

Open Language Table for Indigenous Languages. Most Wednesdays on the first floor of the Discovery Building and hosted by the Wisconsin Institute for Discovery ID Hub in Room 1145. An Indigenous Language Table is designed to enable language learners to develop spoken language skills outside of the classroom setting, build …

Amazon Bedrock provides access to high-performing AI models, called foundation models, from AI startups and Amazon. Attend this workshop to gain hands-on experience finding a model best suited to your use case. URL: https://it.wisc.edu/research-ci/aws-workshop-leveraging-foundation-models-fms-through-amazon-bedrock/

Resilience, Robustness and Adaptability. Wisconsin Institute for Discovery's second year exploring resilience, robustness and adaptability in complex systems through faculty and guest seminars.

This is an hands-on introduction to deep learning and its implementation in Keras, intended for anyone familiar with machine learning.. The use of deep learning has seen a sharp increase of popularity and applicability over the last decade. While deep learning can be a useful tool for researchers from a …

This is an hands-on introduction to deep learning and its implementation in Keras, intended for anyone familiar with machine learning.. The use of deep learning has seen a sharp increase of popularity and applicability over the last decade. While deep learning can be a useful tool for researchers from a …

This is an hands-on introduction to deep learning and its implementation in Keras, intended for anyone familiar with machine learning.. The use of deep learning has seen a sharp increase of popularity and applicability over the last decade. While deep learning can be a useful tool for researchers from a …

Sebastien Reich (Potsdam University): The Mathematics of Nurturing a Digital Twin. Mathematically speaking, a DT can often be described as a partially observed Markov decision process (POMDP). Solving POMDPs computationally constitutes one of the most challenging problems around. Still, tremendous progress has been made in closely related fields such as …

Data Carpentry Genomics. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches data management and analysis for genomics research including: best practices for organization of bioinformatics …

Data Carpentry Genomics. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches data management and analysis for genomics research including: best practices for organization of bioinformatics …

Data Carpentry Genomics. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches data management and analysis for genomics research including: best practices for organization of bioinformatics …

Data Carpentry Genomics. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches data management and analysis for genomics research including: best practices for organization of bioinformatics …

Data Carpentry Genomics. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches data management and analysis for genomics research including: best practices for organization of bioinformatics …

Data Carpentry Genomics. Data Carpentry’s aim is to teach researchers basic concepts, skills, and tools for working with data so that they can get more done in less time, and with less pain. This workshop teaches data management and analysis for genomics research including: best practices for organization of bioinformatics …

Julia is a programming language that superficially looks like an interpreted language and mostly behaves like one. But before each function is executed it will be compiled just in time. Thus you get the flexibility of an interpreted language and the execution speed of a compiled language at the cost …