Welcome to your calendar for data science events! Dive into a curated list of courses, conferences, seminars, workshops, and key deadlines. Tailor your search to match your interests by adjusting the event category filters. For those specifically looking for PhD courses, simply modify the filter settings to include these events as well. Stay connected and up-to-date with the latest in data science, all in one place.
In an era of explosive growth in complex data, our course is your bridge to a deeper understanding of Functional Data Analysis (FDA)and Machine Learning (ML). The main challenge today isn't data availability but rather our ability to interpret it. Join our growing community of professionals applying ML to tackle complex data challenges. This crash […]
Biomedical image analysis is a broad topic that covers a variety of disciplines in modern computer science, AI Research, medical sciences and biology. In this summer school, we aim at given the participant a good overview of the current state-of-the-art in several of the fundamental topics used in modern biomedical image analysis. Biomedical image analysis […]
Multi-modal learning is an innovative field in machine learning that focuses on integrating and leveraging data from multiple diverse sources or modalities. This approach aims to create more robust, accurate, and comprehensive models by combining information from different types of data, such as images, text, audio, and numerical data. In this summer school, we will […]
The A2S2 Seasonal School provides a technically grounded introduction to AI alignment, safety and security, focusing on the whys and hows of making AI systems robust, appropriate, and aligned with human or application goals. While mental health is used as one motivating high-stakes application, the methods, concepts and evaluation frameworks generalize to a wide range […]
Objectives The events have two main objectives: First, to bring together data scientists, EdTech companies, PhD students, study leaders, and administrative, legal, and AI systems roles to understand the complexity of developing and implementing Generative AI in education; second, to strengthen the problem space in which data science solutions can be defined, tested, and anchored […]