Hi everyone

Last chance to register for the new one-day seminar, Clustering 
High-Dimensional Data with ChatGPT 
<https://instats.org/seminar/clustering-high-dimensional-data-with-ch>, running 
March 28 with Professor Nikolay Oskolkov from Lund University. In the era of 
big data, effectively analyzing high-dimensional datasets is critical in a 
variety of fields. In this workshop, you'll learn to harness both classic and 
advanced clustering techniques using R and Python—with ChatGPT serving as your 
AI assistant to help write code, interpret results, and streamline your 
workflow. Dr. Oskolkov, an expert in bioinformatics, statistics, and machine 
learning, will guide you through methods to tackle the curse of dimensionality, 
apply dimensionality reduction (PCA, t-SNE, UMAP), and implement a range of 
clustering algorithms from basic (K-means, GMM, hierarchical) to advanced 
graph-based techniques (SNN, (H)DBSCAN, Louvain, Leiden). Designed for PhD 
students, academics, and professional researchers, this hands-on session will 
equip you with the skills to extract meaningful insights from complex, 
multi-dimensional data.

Sign up today 
<https://instats.org/seminar/clustering-high-dimensional-data-with-ch> to 
secure your spot, and feel free to share this opportunity with colleagues and 
students who might benefit!


Best wishes

Michael Zyphur
Director
Institute for Statistical and Data Science
instats.org <http://instats.org>

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