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Practical Application of Proxy IP in Machine Learning

  • Proxy IP is a network service that allows users to send and receive network requests through an intermediate server, providing anonymous access and solving access restrictions and speed issues.
  • Proxy IP can be applied in machine learning for data collection, breaking geographical restrictions, improving data crawling efficiency, and ensuring data privacy and security.
  • In model training, proxy IP can optimize data diversity, dynamically adjust data sources, and mitigate data bias, enhancing the performance and fairness of the model.
  • Best practices include choosing a reliable proxy service provider, planning the use of proxy IP effectively, and complying with laws and privacy policies.

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