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What is Data analytics?

Data analytics is the process of interpreting and examining data to extract insights and trends. It combines machine learning models and statistical methods to enhance decision-making, optimize performance, and detect anomalies.

Self-supervised learning
Self-supervised learning is a machine learning approach where models learn patterns and features from unlabeled data without requiring human-labeled annotations. It is commonly used in natural language processing, computer vision, and representation learning to improve AI efficiency.
FAIR data
FAIR data is a set of principles ensuring that data is Findable, Accessible, Interoperable, and Reusable. These guidelines promote responsible data management in research, industry, and government, facilitating collaboration, transparency, and innovation in data-driven fields.
Data ethics
Data ethics refers to the principles guiding responsible data collection, processing, and use. It emphasizes fairness, transparency, and accountability in AI, analytics, and business operations, ensuring ethical considerations in privacy protection and decision-making.

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