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What is Structured Data?

Structured data is highly organized information stored in databases, typically in rows and columns, making it easily searchable and analyzable. It includes financial records, customer databases, and inventory management systems.

Algorithmic bias
Algorithmic bias occurs when an AI system produces prejudiced results due to biased training data or flawed algorithms. This can lead to unfair outcomes in decision-making processes, such as hiring or lending, necessitating fairness and bias mitigation techniques in AI development.
Feature Engineering
Feature engineering is the process of selecting, transforming, and creating relevant data features to improve machine learning model performance. It involves techniques like normalization, encoding, and dimensionality reduction, essential for building accurate AI models.
Economics of open data
Economics of open data examines the financial and societal impact of freely accessible public data. It explores how governments, businesses, and researchers can leverage open datasets to drive innovation, improve decision-making, and enhance public services, while also addressing concerns around privacy, monetization, and regulatory challenges.

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