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• Markov Property: Markov Property is a fundamental concept in probability theory and statistics that describes the memoryless property of a stochastic process. It states that the future state of a system depends only on its present state and not on its past ... Read More >>
• Supervised Learning: Supervised learning is a type of machine learning where the algorithm learns from labeled data. In supervised learning, the input and output variables are known, and the algorithm learns to map the input to the output by minimizing the erro ... Read More >>
• Normalization: Normalization is a process of organizing data in a database to reduce redundancy and dependency. It involves breaking down a table into smaller tables and defining relationships between them. The main goal of normalization is to eliminate d ... Read More >>