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Lecture
Understanding Data Models
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Related lectures (32)
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Handling Data: Intro to Pandas
Introduces the fundamentals of handling data, emphasizing the importance of Pandas and data modeling for effective analysis.
Digital Humanities Workflow
Explores the workflow in Digital Humanities, emphasizing data collection and visualization.
Data Modeling: Concepts and Applications
Introduces data modeling concepts, SQL usage, and Pandas library applications for efficient data processing.
Data Art: Creating Artworks from Scientific Data
Explores creating art from scientific data, showcasing the fusion of creativity and scientific rigor.
Deep Learning: Data, Models, and Challenges
Provides an overview of deep learning concepts, focusing on data, model architecture, and challenges in handling large datasets.
Report Structure: Acid-Base and pH Titration
Explores the structure of scientific reports and acid-base titration experiments, emphasizing accurate data recording and clear presentation.
Knowledge Representation: Semantics and Data Structures
Explores knowledge representation, data structures, semantics, and the challenges of searching for data on the web.
Building a Data Model to Support a Scientific Usecase
Explores building a data model for scientific usecases and the significance of tracking data origin and usage.
Data Analysis to AI and ML, Social Media
Explores the evolution from data analysis to AI and ML, emphasizing big data, machine learning, and social media interaction.
Management of Fever in Children: Measurement and Examples
Explores the measurement and operationalization of outcomes in managing fever in children under five through examples and data collection approaches.