Hands-on machine learning with C++

Hands-On Machine Learning with C++ is your complete guide to building powerful machine learning and artificial intelligence systems using one of the world’s fastest programming languages. Designed for developers, engineers, and data enthusiasts who want performance-driven solutions, this book takes you step by step through the foundations, implementations, and real-world applications of ML in C++.

Inside, you’ll explore how to:

* Implement linear regression, logistic regression, decision trees, and ensemble methods directly in C++.

* Build and train neural networks, convolutional networks for computer vision, and recurrent models for sequential data .

* Harness the power of GPU acceleration with CUDA and OpenCL for high-performance AI development.

* Apply ML techniques to natural language processing, recommendation engines, and real-time computer vision systems .

* Deploy trained models to edge and embedded devices , where efficiency and speed matter most

* Master reinforcement learning by training game-playing agents and applying Q-learning and deep Q-networks.

This hands-on resource blends core theory with practical coding projects , ensuring you not only understand the algorithms but also know how to implement them effectively. From data preprocessing and feature engineering to profiling, optimization, and best practices , every chapter is crafted to give you the tools needed for production-ready ML systems.
Whether you are a C++ developer stepping into machine learning, or a data scientist looking to push beyond Python into high-performance computing for AI , this book equips you with the skills to build, optimize, and deploy ML models in real-world environments.
Unlock the true potential of machine learning with C++ and become proficient in creating efficient, scalable, and future-proof AI solutions.