Hi everyone Instats is excited to offer a 1-day seminar, Deep Learning for Complex Datasets with ChatGPT <https://instats.org/seminar/deep-learning-for-complex-datasets-with-2>, livestreaming on September 26th and led by Group Leader (PI) Nikolay Oskolkov from LIOS. As data grow ever larger and more intricate, deep learning has become indispensable for modeling complex patterns, uncovering hidden structures, and driving breakthroughs across statistics, bioinformatics, computational biology, and the social and health sciences more generally. In this intensive workshop, Professor Oskolkov will guide participants through the fundamentals of neural networks and the latest advances in large language models, showing how tools such as R, Python, TensorFlow, Keras, and ChatGPT can be combined to build, train, and evaluate powerful models tailored to life-science datasets. You will code gradient descent and a vanilla neural network from scratch, explore convolutional and recurrent architectures for genomic and time-series data, apply autoencoders for dimensionality reduction, and learn best practices for hyperparameter tuning and model assessment—all while leveraging ChatGPT as an on-demand coding consultant. By the end of the day, attendees will have gained hands-on experience applying deep learning techniques to real biological data, developed transferable skills for integrating LLMs into their research workflows, and acquired a forward-looking perspective on emerging AI technologies in computational biology.
Sign up today <https://instats.org/seminar/deep-learning-for-complex-datasets-with-2> to secure your spot, and feel free to share this opportunity with colleagues and students who might benefit! Best wishes Michael Zyphur Professor and Director Institute for Statistical and Data Science https://instats.org [[alternative HTML version deleted]] _______________________________________________ R-sig-ecology mailing list [email protected] https://stat.ethz.ch/mailman/listinfo/r-sig-ecology
