Название: C++ for Machine Learning: A Comprehensive Programming Guide
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2025
Страниц: 590
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

C++ for Machine Learning.
Build Lightning-Fast AI Systems with the Power of Native Code.

Discover the full potential of artificial intelligence by harnessing the speed, precision, and control of C++. While most Machine Learning resources stop at Python, this groundbreaking guide goes deeper—showing you how to build high-performance ML models and systems from the ground up using one of the world’s fastest programming languages.

Machine Learning is at the heart of tomorrow’s breakthroughs, and C++ stands out as the language that not only meets but exceeds these demands. Renowned for its speed, control, and versatility, C++ empowers you to build high-performance models and robust applications that can tackle real-world challenges—from analyzing big data to driving autonomous systems. This book is crafted to show you how to harness that power.

Throughout these pages, you will explore a comprehensive curriculum that begins with the fundamentals of C++ and gently escalates to advanced topics like neural networks, Deep Learning, and even reinforcement learning. Each chapter is designed to offer practical, step-by-step guidance with clear code examples and real-world applications. We start by laying a solid foundation with the basics of Machine Learning and C++ programming, ensuring that you feel confident as you progress to complex topics like optimization techniques, natural language processing, and computer vision. Every concept, every algorithm, and every tool is presented in a way that inspires not only learning but innovation.

Designed for engineers, researchers, and developers ready to break out of the limitations of interpreted languages, this book covers:

Core ML concepts implemented directly in C++
Efficient data structures, matrix operations, and memory management
Building neural networks without relying on heavy libraries
Integrating C++ with CUDA and OpenCL for GPU acceleration
Bridging C++ with Python for hybrid workflows
Deployment strategies for production-grade AI applications

Whether you're optimizing inference times, developing edge AI solutions, or building custom learning algorithms, C++ for Machine Learning gives you the toolkit to own the entire stack—from data to decision.

This isn’t another beginner’s ML book. It’s a weapon for those ready to go beyond the black box—and build AI systems that are fast, powerful, and deeply yours.

Contents: