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Most machine learning books rely heavily on Python—but what if you need the raw speed, control, and efficiency of C++? Whether you’re building AI for real-time systems, embedded devices, or performance-critical applications, this is the comprehensive guide you’ve been waiting for.
Machine Learning in C++ takes a deep dive into the core algorithms, design patterns, and real-world implementations of machine learning—all written in modern, efficient C++. This book doesn’t just teach you the theory; it shows you how to build working ML models from scratch using C++, complete with performance optimizations, memory management, and GPU acceleration.
What You’ll Learn:
The fundamentals of machine learning: supervised, unsupervised, and reinforcement learning
How to set up your C++ development environment with TensorFlow C++, Dlib, Caffe, and OpenCV
C++ programming essentials for machine learning: multithreading, memory management, OOP, and more
Implement core algorithms like Linear Regression, Logistic Regression, Decision Trees, SVMs, and KNN
Build advanced neural network architectures including CNNs, RNNs, LSTMs, and GANs
Use GPU acceleration with CUDA to drastically improve training and inference times
Handle real-world data with C++: CSV/JSON parsing, data preprocessing, normalization, and encoding
Optimize models and deploy AI applications across industries like finance, healthcare, and robotics
Real Projects You’ll Build:
A Facial Recognition System using OpenCV
A Collaborative Filtering Recommendation Engine
A Stock Market Predictor using LSTMs
A Handwritten Digit Classifier with CNNs
A Generative Art Creator with GANs
And 5+ more machine learning apps written entirely in C++
Who This Book Is For:
C++ developers ready to step into the world of AI and machine learning
Engineers building embedded or real-time ML systems
Students and researchers needing more control and performance in their ML workflows
Professionals working in finance, robotics, autonomous systems, or any domain where milliseconds matter
Python users looking to understand the performance foundations of their favorite ML libraries
By the end of this book, you’ll have built 10 real-world ML applications in C++, gained deep insights into core ML logic, and mastered techniques for building fast, scalable AI systems that go beyond what most high-level languages can offer.
Take full control of your machine learning code. Learn to build smarter, faster, and more efficient AI systems with C++.
Get your copy now and start mastering Machine Learning the C++ way.
ASIN : B0F48PB7HF
Accessibility : Learn more
Publication date : April 8, 2025
Language : English
File size : 1.8 MB
Enhanced typesetting : Enabled
X-Ray : Not Enabled
Word Wise : Not Enabled
Print length : 558 pages
Page Flip : Enabled
