Processes

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• Anonymization: Anonymization is the process of removing or altering personally identifiable information from data sets in order to protect the privacy of individuals. This is particularly important in the context of data science and artificial intelligenc ... Read More >>
• Privacy Policies: Privacy policies are legal documents that explain how an organization collects, uses, and manages the personal information of its users or customers. In the context of data science and artificial intelligence, privacy policies are crucial f ... Read More >>
• Plaintext: Unsupervised learning is a type of machine learning where the model is trained on unlabeled data without any specific target variable. The goal of unsupervised learning is to identify patterns and relationships in the data, and group simila ... Read More >>