Machine Learning for Complex Datasets with ChatGPT (Online)
Date:
30/04/2025
Organised by:
Instats Inc.
Presenter:
Dr. Nikolay Oskolkov
Level:
Entry (no or almost no prior knowledge)
Contact:
Marc Monit
marc@instats.org
Venue: Online
Description:
This one-day workshop, led by Nikolay Oskolkov from Lund University, provides a comprehensive introduction to machine learning techniques in data analysis, focusing on both theoretical knowledge and practical coding skills in R and Python while using ChatGPT as a research assistant for coding and interpreting results. Participants will learn to implement from scratch and optimize algorithms such as neural networks, random forest, k-means clustering, Gaussian Mixture Model (GMM), and Markov Chain Monte Carlo (MCMC), making it an essential resource for advancing research in statistics and data science.
Cost:
USD138-USD332
Website and registration:
Region:
International
Keywords:
Quantitative Data Handling and Data Analysis
Related publications and presentations from our eprints archive:
Quantitative Data Handling and Data Analysis