Hello R-SIG-EPI members Last chance to join our 1-day seminar Clustering High-Dimensional Data 2.0 livestreaming February 6 with Nikolay Oskolkov (Group Leader (PI) at LIOS). This seminar on Clustering High-Dimensional Data 2.0 offers advanced techniques for analyzing complex datasets. Epidemiologists can apply these methods to identify distinct patient subgroups, uncover hidden patterns in disease progression, or categorize risk factors within their high-dimensional data. Mastering these R and Python-based skills will enable researchers to derive more robust and nuanced insights from their epidemiological studies. Sign up today (https://instats.org/seminar/clustering-high-dimensional-data-20) to secure your spot, and please share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Instats | instats.org
Clustering High-Dimensional Data 2.0 – last chance
1 message · mzyphur m@iii@g oii i@st@ts@org