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    Effective Java 3rd Edition

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    Write cleaner, more robust code with Effective Java, 3rd Edition. Authored by Java luminary Joshua Bloch, this definitive guide outlines 90 actionable best practices for modern software design. Fully updated for Java 7, 8, and 9, it features in-depth coverage of lambdas, streams, and modules, making it an absolute must-read for any professional Java developer.

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    Hands-On Unsupervised Learning Using Python: How to Build Applied Machine Learning Solutions from Unlabeled Data

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    Master the power of unlabeled data with Hands-On Unsupervised Learning Using Python. Authored by Ankur A. Patel, this highly practical guide teaches developers how to build production-ready machine learning models using Scikit-learn and TensorFlow. Featuring step-by-step code examples for clustering, anomaly detection, and dimensionality reduction, it is the perfect resource for Python programmers looking to turn raw, unstructured data into actionable business intelligence.

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    Practical Statistics for Data Scientists: 50+ Essential Concepts Using R and Python, 2nd Edition

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    Master the statistical foundations of modern machine learning with Practical Statistics for Data Scientists, 2nd Edition. Authored by Peter Bruce, Andrew Bruce, and Peter Gedeck, this highly accessible guide explains over 50 essential statistical concepts and how to apply them using both R and Python. Focusing on practical application rather than dense mathematics, it is the ultimate desk reference for building accurate, data-driven solutions and avoiding common analytical pitfalls.

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