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Category: "Machine Learning"

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  1. Theory meets practice. Get clear mathematical explanations and decision frameworks paired with extensive worked examples and progressive exercises to truly master machine learning algorithms—from logistic regression to neural networks, with real-world applications throughout.

  2. Agentic Memory
    Volodymyr Pavlyshyn
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  3. Longitudinal Data Analysis in R + combines a comprehensive, hands-on guide with a concise cheat sheet to give you both depth and clarity. Learn how to prepare, explore, and model longitudinal data using real-world examples in R—while always having a clear map of key concepts, commands, and models at hand.

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