loading . . . Exploratory Analysis of Complex Datasets with ChatGPT 2.0 - On-Demand Tackle the curse of dimensionality with an intensive one-day workshop, "Exploratory Analysis of Complex Datasets with ChatGPT," led by Nikolay Oskolkov (Molecular Biosciences, Lund University) — designed for PhD students, professors, and research professionals in statistics, data science, bioinformatics, AI and ML. You’ll get hands-on training in linear and non-linear dimensionality reduction (PCA, MDS, t-SNE, UMAP), clustering methods (k‑means, hierarchical, GMM, spectral, DBSCAN, Louvain/Leiden), autoencoders and neural approaches, time-series clustering with DTW, and practical implementations in R, Python, TensorFlow and Bash — plus guidance on integrating ChatGPT into your analysis workflow. The seminar is livestreamed via Zoom, includes 30-day access to recordings, code and materials, and a monitored Q&A forum; participants receive an Instats certificate of completion (ECTS-equivalent points shown for European students). Join to sharpen your exploratory data analysis toolkit and accelerate your research — register now to secure your spot.
#Statistics #DataScience #Bioinformatics #ArtificialIntelligence #MachineLearning #ComputerScience #Biostatistics #MolecularBiology #CognitiveScience #ComputationalBiology #R #Python #ChatGPT #TensorFlow #Bash #Research #ResearchTraining #Instats https://instats.org/seminar/exploratory-analysis-of-complex-datasets-3?utm_source=bluesky