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   Data science is an interdisciplinary field that uses scientific methods, algorithms, and systems to extract knowledge and insights from structured and unstructured data.

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2. Machine-Learning Machine-Learning Public

   Machine learning (ML) is a subset of artificial intelligence (AI) that enables computers to learn from data, identify patterns, and make decisions without explicit programming.

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3. Datamining-and-Textmining Datamining-and-Textmining Public

   Data mining identifies patterns in structured data using statistics and machine learning, while text mining applies natural language processing (NLP) and linguistic techniques to transform unstruct…

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4. Recommendation-system Recommendation-system Public

   Content-based filtering (CBF) recommends items similar to what a user liked in the past by analyzing item features, while collaborative filtering (CF) recommends items based on the behavior and pre…

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5. Deep-Learning Deep-Learning Public

   Deep learning is a subset of machine learning based on artificial neural networks with multiple layers (hence "deep") that mimic the human brain to process data.

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6. Reinforcement-Learning Reinforcement-Learning Public

   Reinforcement Learning (RL) is a machine learning approach where an autonomous agent learns to make decisions by interacting with an environment, receiving feedback through rewards or penalties.

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