Hi everyone
Instats is excited to offer a 1-day seminar, Deep Learning for Complex Datasets with ChatGPT 2.0, livestreaming on Oct 27th and led by Nikolay Oskolkov, Group Leader at LIOS and professor in Molecular Biosciences at Lund University. Harnessing the synergy between state-of-the-art neural networks and Large Language Models, this intensive workshop will show you how to build, train, and evaluate deep learning models that reveal hidden patterns in complex biological, medical, and high-dimensional datasets. Through hands-on coding in R, Python, TensorFlow, and Keras—augmented by ChatGPT as a real-time coding partner—you’ll explore convolutional and recurrent networks, autoencoders, Bayesian approaches, and cutting-edge applications in multi-omics, single-cell biology, and personalized medicine. By the end of the day you’ll be ready to integrate deep learning into your own research pipeline, confidently preprocess data, optimize hyperparameters, and critically assess model performance.
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
Professor and Director
Institute for Statistical and Data Science
Instats is excited to offer a 1-day seminar, Deep Learning for Complex Datasets with ChatGPT 2.0, livestreaming on Oct 27th and led by Nikolay Oskolkov, Group Leader at LIOS and professor in Molecular Biosciences at Lund University. Harnessing the synergy between state-of-the-art neural networks and Large Language Models, this intensive workshop will show you how to build, train, and evaluate deep learning models that reveal hidden patterns in complex biological, medical, and high-dimensional datasets. Through hands-on coding in R, Python, TensorFlow, and Keras—augmented by ChatGPT as a real-time coding partner—you’ll explore convolutional and recurrent networks, autoencoders, Bayesian approaches, and cutting-edge applications in multi-omics, single-cell biology, and personalized medicine. By the end of the day you’ll be ready to integrate deep learning into your own research pipeline, confidently preprocess data, optimize hyperparameters, and critically assess model performance.
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
Professor and Director
Institute for Statistical and Data Science
