C++ for Machine Learning: A Comprehensive Programming Guide
C++ for Machine Learning: A Comprehensive Programming Guide by Hayden Van Der Post, Reactive Publishing, Alice Schwartz
English | March 28, 2025 | ASIN: B0F2XD8LMN | 590 pages | EPUB | 0.54 Mb
English | March 28, 2025 | ASIN: B0F2XD8LMN | 590 pages | EPUB | 0.54 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.
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
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.
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