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What is Reinforcement Learning?

Reinforcement learning refers to a type of machine learning where an agent learns optimal behaviors by interacting with an environment through rewards and penalties. It is widely used in robotics, gaming, finance, and autonomous systems.

EU-US Data Privacy Framework
The EU-US Data Privacy Framework is a new agreement replacing the invalidated Privacy Shield, establishing safeguards for transatlantic data transfers. It introduces stricter security measures, accountability mechanisms, and compliance requirements to align with GDPR and ensure better protection of personal data shared between the EU and US.
Public data transmission service
Public data transmission service refers to networks and platforms that facilitate the secure exchange of publicly available data. These services enable governments, organizations, and researchers to access and share data while ensuring security, integrity, and interoperability.
Data analysis for fraud detection
Data analysis for fraud detection is the application of analytical techniques, including machine learning and statistical modeling, to identify fraudulent activities in financial transactions, insurance claims, and cybersecurity. It detects anomalies, suspicious behavior, and risk patterns to prevent fraud and minimize financial losses.

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