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612-822-4611
Machine Learning with Julia: An Algorithmic Exploration

Machine Learning with Julia: An Algorithmic Exploration

Hardcover

Series: Machine Learning: Foundations, Methodologies, and Applications

General ComputersProbability & Statistics

Currently unavailable to order

ISBN10: 9819696887
ISBN13: 9789819696888
Publisher: Springer
Published: Apr 17 2026
Pages: 422
Weight: 2.73
Height: 1.14 Width: 8.59 Depth: 11.06
Language: English
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.

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