Data Integration & Cleaning: Expert Matching & Entity Recognition
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Explores data handling fundamentals, including models, sources, and wrangling, emphasizing the importance of understanding and addressing data problems.
Explores the concept of Knowledge Graphs and their role in data integration and semantic understanding, showcasing real-world examples and applications.
Covers the implementation of an information system for managing taxi trajectories, including filtering data, creating trajectory models, and comparing performance.
Explores fundamental principles in scientific research, the impact of computers, numerical algorithms, and deep learning in solving high-dimensional problems.