Explores Entity Disambiguation, linking text mentions to a knowledge base, coherence in entity graphs, and Personalized PageRank.
Examines the historical challenges of managing information and the evolution of information management tools to cope with information overload.
Explores knowledge inference, embedding techniques, and schema matching in data integration.
Explores knowledge inference for graphs, discussing label propagation, optimization objectives, and probabilistic behavior.
Covers operations and methods related to dictionaries in Python, including creating, updating, and handling key errors.
Provides a Python crash course covering basic arithmetics, complex numbers, strings, lists, dictionaries, and more.
Covers tuples, sets, and dictionaries in Python, explaining their similarities and differences, common operations, and key concepts.
