Hi everyone
Instats is excited to offer a 1-day seminar, Exploratory Analysis of Complex Datasets with ChatGPT, livestreaming 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 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
Instats is excited to offer a 1-day seminar, Exploratory Analysis of Complex Datasets with ChatGPT, livestreaming 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 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
