Hello R-SIG-EPI members Instats is offering a new 1-day seminar Deep Learning for Complex Datasets with AI 3.0 livestreaming March 25, led by Nikolay Oskolkov (Group Leader (PI) at LIOS). This seminar explores deep learning techniques for analyzing complex datasets, offering powerful methods to uncover intricate patterns in large-scale epidemiological information. Participants will learn to apply convolutional and recurrent neural networks to sequential or time-series epidemiological data, and utilize autoencoders for dimensionality reduction or clustering of complex health outcomes. The practical skills gained in R, Python, TensorFlow, and Keras, enhanced by AI assistance, can be directly integrated into your existing research workflows to develop more sophisticated predictive and analytical models. 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
Deep Learning for Complex Datasets with AI 3.0 – livestream seminar
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