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Machine Learning with Julia
- An Algorithmic Exploration
Engelsk
Bogcover for Machine Learning with Julia af Jeremiah D. Deng, 9789819696888
Specifikationer
Sprog:
Engelsk
Sider:
418
ISBN-13:
9789819696888
Indbinding:
Hardback
ISBN-10:
9819696887
Udg. Dato:
15 dec 2025
Størrelse i cm:
24,0 x 16,8
Oplagsdato:
15 dec 2025
Forfatter(e):

Machine Learning with Julia

- An Algorithmic Exploration
Engelsk
Hardback 2025
Format:

Bog beskrivelse
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 Kullback–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 Julia’s powerful machine learning ecosystem—including libraries such as Flux.jl, MLJ.jl, and more—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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699,01 kr
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653 kr
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Udkommer 15-12-2025

Specifikationer
Sprog:
Engelsk
Sider:
418
ISBN-13:
9789819696888
Indbinding:
Hardback
ISBN-10:
9819696887
Udg. Dato:
15 dec 2025
Størrelse i cm:
24,0 x 16,8
Oplagsdato:
15 dec 2025
Forfatter(e):
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