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This guide empowers readers to harness Julia for machine learning applications. It covers essential techniques, algorithms, and practical examples to effectively implement machine learning models. The book emphasizes Julia's unique capabilities, such as its speed and ease of use, making it an ideal choice for data scientists and engineers. With a focus on real-world scenarios, readers will learn to develop and optimize machine learning solutions efficiently.
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Julia for Machine Learning, Zacharias Voulgaris
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- 2020
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