Binary Logistic Regression in Stata
The analysis of binary outcomes is widespread across scientific fields. This workshop introduces the basics of the most commonly used statistical model for binary outcomes, logistic regression. Some basic background ...
Find out more »HPC Monthly Workshop: Machine Learning and BIG DATA
Venue: OARC Portal, 5628 Math Science Building, UCLA Registration: https://www.psc.edu/resources/training/hpc-workshop-big-data-may-13-14-2025/ UCLA-IDRE and Pittsburgh Supercomputing Center are pleased to announce a two day Machine Learning and Big Data workshop (May ...
Find out more »High Performance Machine Learning Using Scikit-Learn
Machine learning is playing an increasingly important role in science and technology. In this advanced session, we focus on leveraging scikit-learn for high-performance machine learning. We will explore how to ...
Find out more »Intro to Accessible Research
What is digital accessibility? How can the research enterprise be more prepared to be inclusive of people with disabilities. What should an IRB be evaluating in terms of digital accessibility? ...
Find out more »Learn Prompt Engineering and Retrieval Augmented Generation using Open Source LLMs
Are you interested in using LLMs for research? In this 90 minute hands-on workshop, you will learn how to install and deploy an open-source LLM on your local environment, create ...
Find out more »Using the SPSS Mixed Command
The purpose of this workshop is to show the use of the mixed command in SPSS. Although it has many uses, the mixed command is most commonly used for running ...
Find out more »Rapid AI Prototyping and Bootstrapping with Low and No-code Tools
Learn how to rapidly build a low cost AI prototype for research and education with custom GPTs, prompt engineering, and turn-key solutions from leading LLM providers. Register Now
Find out more »Practical Multi-GPU Computing
This workshop provides an introduction to using multiple GPUs for high-performance computing. Participants will explore essential techniques and tools, including CUDA with C++ and Python, PyTorch, and MPI, to optimize ...
Find out more »Introduction to power simulations in R
This workshop introduces power analysis and simulations to assess power and estimate sample sizes needed for sufficient power. We will begin with simple analyses such as the t-test and will ...
Find out more »Designing AI interfaces for Research Mobile Apps
This workshop explores designing AI interfaces for research mobile apps, focusing on enhancing user experience. Participants will learn how to leverage Retrieval Augmented Generation (RAG) architectures to achieve accurate performance ...
Find out more »Introduction to directed acyclic graphs (DAGs) for causal inference in R
Directed Acyclic Graphs (DAGs) have emerged as an important tool in causal modeling to understand the relationships among variables. DAGs can inform what variables should be included or excluded in ...
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