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• Matrix Factorization: Matrix factorization is a technique used in data science and artificial intelligence to decompose a large matrix into smaller matrices in order to simplify the data and extract meaningful insights. It is commonly used in recommendation syst ... Read More >>
• Non-volatile: Non-volatile refers to a type of memory that retains its stored data even when the power is turned off. In contrast, volatile memory requires a constant power source to maintain its stored data. Non-volatile memory is commonly used in data ... Read More >>
• Personalized Marketing: Personalized marketing is a marketing strategy that uses data analysis and artificial intelligence algorithms to deliver individualized content and product recommendations to consumers based on their interests, behaviors, and preferences. T ... Read More >>