Hands-On Machine Learning with C++

Dive into machine learning development with 'Hands-On Machine Learning with C++'. This book teaches you how to leverage popular C++ libraries for implementing machine learning models, covering both foundational concepts and advanced use cases.

What this Book will help me do

• Understand the basics and advance to complex machine learning concepts using C++.
• Learn to preprocess complex datasets into C++ structures efficiently.
• Gain expertise in deploying machine learning models to mobile and embedded systems.
• Master techniques for optimizing and measuring model performance.
• Get hands-on with real-world projects that reinforce practical learning.

Author(s)

Kirill Kolodiazhnyi is a seasoned software engineer with years of experience in deploying scalable machine learning systems. His passion for C++ programming and graphical models has driven him to share his deep insights and strategies through this book. Kirill emphasizes hands-on learning with clear practical examples to empower learners to build efficient, production-ready machine learning solutions.

Who is it for?

This book is perfect for computer engineers, data scientists, and software developers who are looking to master machine learning using C++. It's tailored for readers who already know C++ basics and want to extend their expertise to applied machine learning. Whether you're starting out in ML concepts or looking to scale and deploy advanced models across platforms, this book has you covered.