SKU/Artículo: AMZ-B0G1M966BB
Mastering Machine Learning with Modern C++: Building, Training, and Deploying Scalable ML Systems for the Real World
Format:
Hardcover
Detalles del producto
Disponibilidad:
En stock
En stock
Peso con empaque:
0.47 kg
0.47 kg
Devolución:
Sí
Sí
Condición
Nuevo
Nuevo
Producto de:
Amazon
Amazon
Viaja desde
USA
USA
Sobre este producto
- Volume I – Mastering Machine Learning with Modern C++ Building, Training, and Deploying High-Performance ML SystemsThis volume is your complete, production-grade introduction to building intelligent systems with Modern C++ (C++17/20). You will learn how to design, implement, and optimize machine learning solutions using the Standard Template Library (STL), advanced language features, and leading open-source frameworks including mlpack, Blaze, and Dlib.From supervised and unsupervised learning fundamentals to optimization algorithms, model evaluation, and parallel computation, this book provides a rigorous, end-to-end foundation for ML engineering in performance-critical environments. Every chapter is crafted for developers and engineers who demand speed, control, and reliability at scale.By the end, you will be able to architect and deploy efficient, scalable, and production-ready ML pipelines built entirely in C++—unlocking the full potential of low-level optimization and high-performance computation.Keywords: machine learning with C++, Modern C++17/20, supervised learning, unsupervised learning, optimization algorithms, mlpack, Blaze, Dlib, linear regression, random forest, STL, high-performance computing, AI engineering, data science, performance optimization.
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AR$65.702
44% OFF
AR$36.502
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