Hi everyone Instats is excited to offer a 1-day seminar, Linear and Nonlinear Dimensionality Reduction <https://instats.org/seminar/linear-and-nonlinear-dimensionality-redu>, on February 26 with professor Nikolay Oskolkov from Lund University. This workshop provides hands-on training in classic linear methods like PCA and advanced nonlinear techniques such as tSNE and UMAP, which are essential for simplifying high-dimensional datasets and uncovering critical insights across the natural, health, and social sciences. Participants will learn to preprocess and analyze complex data using R and Python through practical examples, real-world case studies, and interactive exercises that highlight best practices and common pitfalls. Enhance your research efficiency and accuracy by mastering these techniques and making big data more manageable in genetics and beyond.
Sign up today 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> Follow Instats:�Bluesky <https://bsky.app/profile/instats.bsky.social>_Linkedin <https://linkedin.com/company/instats1>_Facebook <https://www.facebook.com/InstatsTraining/> [[alternative HTML version deleted]]
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