Hi everyone Instats is excited to offer a 1-day seminar, Machine Learning for Complex Data with ChatGPT <https://instats.org/seminar/machine-learning-for-complex-data-with-c>, livestreaming August 22 and led by Nikolay Oskolkov, Group Leader (PI) at LIOS. As data sets grow in size and complexity, knowing how to pair machine learning techniques with AI-driven tools like ChatGPT has become indispensable for researchers across the biological, environmental, health, and social sciences—along with statistics and engineering. In this intensive workshop, you’ll learn to code core algorithms such as neural networks, random forests, k-means clustering, Gaussian Mixture Models, and MCMC from scratch in both R and Python, while using ChatGPT to streamline coding, interpretation, and troubleshooting. Dr. Oskolkov’s hands-on approach blends clear theoretical foundations with live coding demonstrations, enabling you to choose the right algorithm for tabular, image, text, and time-series data, optimize models through hyperparameter tuning, and navigate ethical considerations in machine learning research. Whether you’re a PhD student aiming to sharpen your analytical toolkit or an experienced researcher looking to incorporate state-of-the-art AI assistance into your workflow, this seminar will equip you with practical skills you can apply immediately to your own projects.
Sign up today <https://instats.org/seminar/machine-learning-for-complex-data-with-c> 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
