Computer Algorithms
Computer algorithms are a set of instructions or rules that a computer follows to solve a problem or perform a task. In data science and artificial intelligence, algorithms are used to analyze and process large amounts of data, make predictions, and automate decision-making processes. These algorithms can be classified into different categories such as supervised learning, unsupervised learning, and reinforcement learning. Supervised learning algorithms are used for classification and regression tasks, where the algorithm is trained on labeled data to make predictions on new data. Unsupervised learning algorithms are used for clustering and dimensionality reduction tasks, where the algorithm is trained on unlabeled data to discover patterns and relationships. Reinforcement learning algorithms are used for decision-making tasks, where the algorithm learns from feedback in the form of rewards or penalties to make better decisions in the future.
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- Memory-based Algorithms: Memory-based algorithms are a type of machine learning algorithm that relies on the entire training dataset to make predictions. These algorithms store the training data in memory and use it to calculate the similarity between the new data ... Read More >>
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