Machine Learning with Julia : An Algorithmic Exploration - Jeremiah D. Deng

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Machine Learning with Julia

An Algorithmic Exploration

By: Jeremiah D. Deng

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Hardcover | 17 April 2026

At a Glance

Hardcover
550 Pages

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28.8 x 21.6 x 3.3

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$171.75

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This textbook offers a comprehensive and accessible introduction to machine learning with the Julia programming language. It bridges mathematical theory and real-world practice, guiding readers through both foundational concepts and advanced algorithms. Covering topics from essential principles like Kullbackâ"Leibler divergence and eigen-analysis to cutting-edge techniques such as deep transfer learning and differential privacy, each chapter delivers clear explanations and detailed algorithmic treatments. Sample code accompanies every major topic, enabling hands-on learning and faster implementation. By leveraging Juliaâs powerful machine learning ecosystemâ"including libraries such as Flux.jl, MLJ.jl, and moreâ"this book empowers readers to build robust, state-of-the-art machine learning models. Ideal for students, researchers, and professionals alike, this textbook is designed for those seeking a solid theoretical foundation in machine learning, along with deep algorithmic insight and practical problem-solving inspiration.

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Machine Learning with Julia

An Algorithmic Exploration

At a Glance

Hardcover

Shipping

How to return your order

Defective items

You Can Find This Book In

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