Course overview
This course aims to provide students with a deep understanding and practical proficiency in handling and analysing multi-modal datasets. It covers advanced data integration techniques, feature extraction, and machine learning models tailored for multi-modal data. By engaging with real-world case studies, students will apply these techniques to industry-relevant problems, developing the ability to evaluate, adapt, and implement solutions that address complex challenges across various domains. The course emphasises both the theoretical underpinnings and practical applications, ensuring that students are prepared to lead in the development and deployment of multi-modal data analysis solutions.