loading . . . Exploratory Analysis of Complex Datasets with ChatGPT 2.0 - Livestream starting Feb 12, 2026 (UTC) Join Nikolay Oskolkov (Molecular Biosciences, Lund University) for a one-day advanced workshop, "Exploratory Analysis of Complex Datasets with ChatGPT," designed for PhD students, professors and research professionals in statistics, data science, bioinformatics, AI and machine learning — a hands-on deep dive into overcoming the curse of dimensionality using linear and non-linear dimensionality reduction (PCA, MDS, t-SNE, UMAP), clustering (k-means, hierarchical, GMM, DBSCAN, spectral, Louvain/Leiden), autoencoders and neural-network approaches, time-series clustering with DTW, and practical implementations in R, Python, TensorFlow and Bash, plus how to integrate modern AI tools like ChatGPT into your analysis workflow; sessions combine theory and applied exercises to help you uncover patterns, detect anomalies and present interpretable results. The seminar is livestreamed via Zoom, with all recordings, code, data and slides available for 30 days after the event and an expert-moderated Q&A forum open for 30 days, and participants receive an Instats certificate of completion (ECTS-equivalent points shown where applicable). Ideal for researchers seeking practical skills to analyze complex, high-dimensional datasets and to accelerate their projects with state-of-the-art tools — register or learn more to secure your place.
#Statistics #DataScience #Bioinformatics #ArtificialIntelligence #MachineLearning #ComputerScience #Biostatistics #MolecularBiology #CognitiveScience #R #Python #ChatGPT #TensorFlow #Bash #Research #ResearchTraining #Instats https://instats.org/seminar/exploratory-analysis-of-complex-datasets-2?utm_source=bluesky
