Book Image

Expert C++

By : Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++

5 (1)
By: Vardan Grigoryan, Shunguang Wu

Overview of this book

C++ has evolved over the years and the latest release – C++20 – is now available. Since C++11, C++ has been constantly enhancing the language feature set. With the new version, you’ll explore an array of features such as concepts, modules, ranges, and coroutines. This book will be your guide to learning the intricacies of the language, techniques, C++ tools, and the new features introduced in C++20, while also helping you apply these when building modern and resilient software. You’ll start by exploring the latest features of C++, and then move on to advanced techniques such as multithreading, concurrency, debugging, monitoring, and high-performance programming. The book will delve into object-oriented programming principles and the C++ Standard Template Library, and even show you how to create custom templates. After this, you’ll learn about different approaches such as test-driven development (TDD), behavior-driven development (BDD), and domain-driven design (DDD), before taking a look at the coding best practices and design patterns essential for building professional-grade applications. Toward the end of the book, you will gain useful insights into the recent C++ advancements in AI and machine learning. By the end of this C++ programming book, you’ll have gained expertise in real-world application development, including the process of designing complex software.
Table of Contents (22 chapters)
Section 1: Under the Hood of C++ Programming
Section 2: Designing Robust and Efficient Applications
Section 3: C++ in the AI World

Understanding ML

ML is a big field of study with a lot of research in progress and is expanding rapidly. To understand ML, we should first understand the nature of learning. Thinking and reasoning are the key concepts that make us – humans – special. The core of ML is to make the system learn and use the knowledge to act upon tasks. You might recall your first steps in studying programming. We are sure it wasn't easy. You had to learn new concepts, build abstractions, and make your brain understand what's going on under the hood of program execution. After that, you were supposed to build complex systems using those small building blocks described in primers as keywords, instructions, conditional statements, functions, classes, and so on.

However, an ML program differs from the programs we usually create. Take a look at the following code:

int calculate...