Course 44 Multimodal Data Analysis

Multimodal data analysis refers to integrating and analyzing data from multiple sources or modalities, each potentially offering distinct types of information. These modalities can include textual, numerical, visual, and sensory data. By combining these diverse data types, multimodal analysis provides a more comprehensive understanding of complex phenomena, capturing richer patterns and relationships that may not be apparent when studying individual data sources in isolation. This approach has gained increasing importance across fields such as machine learning, healthcare, social sciences, and marketing, where real-world problems require an integrated view of heterogeneous data. This section will explore the methodologies, challenges, and applications of multimodal data analysis, highlighting its potential to unlock new insights and drive innovation.