Functional Programming

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• Boosting: Boosting is a machine learning ensemble meta-algorithm that combines weak learners to form a strong learner. In boosting, each weak learner is trained on a subset of the data, and the algorithm assigns higher weights to the misclassified sa ... Read More >>
• Tables: In data science, tables refer to a structured way of organizing data in rows and columns. Tables are commonly used to store and manipulate large amounts of data, and are often used in data analysis and machine learning tasks. Tables can be ... Read More >>
• Actor-Critic Methods: Actor-Critic methods are a class of reinforcement learning algorithms that combine both value-based and policy-based methods. In these methods, the actor learns to select actions based on the current policy, while the critic learns to estim ... Read More >>