Name: Machine Learning with Julia. An Algorithmic Exploration
SKU: 64806170
Price: 72.87 USD
Availability: InStock
Author: Jeremiah D. Deng

portada Machine Learning with Julia. An Algorithmic Exploration

Machine Learning with Julia. An Algorithmic Exploration

Formato

Libro Físico

Editorial

Springer Nature Switzerland AG

Autor

Jeremiah D. Deng

Colección

Machine Learning: Foundations, Methodologies, and Applications

Año

2025

N° páginas

418

Encuadernación

Tapa Dura

Dimensiones

24x16.8 cm

ISBN13

9789819696888

Machine Learning with Julia. An Algorithmic Exploration

Jeremiah D. Deng (Autor) · Springer Nature Switzerland AG · Tapa Dura

Libro Nuevo Importado

Envío: 20 a 27 días háb.

$ 145.74$ 72.87

-50%

Costos de importación incluídos en el precio ✅

Libro Nuevo

Quedan más de 100 unidades

$ 72.87

Llega entre el 21 Sep y el 02 Oct a Quito, Pichincha. Seleccionar ubicación

Agregar a lista de deseos

Reseña del libro "Machine Learning with Julia. An Algorithmic Exploration"

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.