Deep Learning for Complex Datasets with AI 3.0 – last chance

Hello R-SIG-EPI members

Last chance to join our 1-day seminar Deep Learning for Complex Datasets with AI 3.0 livestreaming March 2 with Nikolay Oskolkov (Group Leader (PI) at LIOS). This seminar explores deep learning techniques that are highly applicable for analyzing the complex, often time-series or sequential, datasets common in epidemiological research. Participants will gain practical skills in R and Python, using tools like TensorFlow and Keras, and leverage ChatGPT to develop and fine-tune neural network architectures for tasks such as disease outbreak prediction or risk factor identification. These advanced methods will enable researchers to uncover intricate patterns, perform sophisticated dimensionality reduction, and quantify uncertainties in their epidemiological models, thereby enhancing the rigor and insight of their studies.

Sign up today (https://instats.org/seminar/deep-learning-for-complex-datasets-with-4) 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