Hi everyone

Instats is excited to offer a 1-day seminar, Exploratory Analysis of Complex 
Datasets with ChatGPT 
<https://instats.org/seminar/exploratory-analysis-of-complex-datasets>, running 
Jul 14th and led by professor Nikolay Oskolkov from Molecular Biosciences, Lund 
University. Designed for scholars and professionals working with 
high-dimensional data, this intensive workshop will show you how to navigate 
the curse of dimensionality using both linear (PCA, MDS) and non-linear (tSNE, 
UMAP) dimensionality-reduction methods, deploy clustering techniques ranging 
from k-means and hierarchical clustering to GMM, DBSCAN, spectral, and 
graph-based approaches, and integrate neural networks and autoencoders to 
uncover hidden structure in genomics, AI, or time-series research. Combining 
rigorous theory with hands-on coding in R and Python, Nikolay will also 
demonstrate how ChatGPT can be woven into your analytic workflow to interpret 
complex outputs, generate insightful explanations, and streamline 
reporting—empowering you to tackle challenging datasets with confidence and 
creativity.

Sign up today 
<https://instats.org/seminar/exploratory-analysis-of-complex-datasets> and feel 
free to share this opportunity with colleagues and students who might benefit!


Best wishes

Michael Zyphur
Professor and Director
Institute for Statistical and Data Science
https://instats.org
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