Book Image

Expert C++ - Second Edition

By : Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu
5 (1)
Book Image

Expert C++ - Second Edition

5 (1)
By: Marcelo Guerra Hahn, Araks Tigranyan, John Asatryan, Vardan Grigoryan, Shunguang Wu

Overview of this book

Are you an experienced C++ developer eager to take your skills to the next level? This updated edition of Expert C++ is tailored to propel you toward your goals. This book takes you on a journey of building C++ applications while exploring advanced techniques beyond object-oriented programming. Along the way, you'll get to grips with designing templates, including template metaprogramming, and delve into memory management and smart pointers. Once you have a solid grasp of these foundational concepts, you'll advance to more advanced topics such as data structures with STL containers and explore advanced data structures with C++. Additionally, the book covers essential aspects like functional programming, concurrency, and multithreading, and designing concurrent data structures. It also offers insights into designing world-ready applications, incorporating design patterns, and addressing networking and security concerns. Finally, it adds to your knowledge of debugging and testing and large-scale application design. With Expert C++ as your guide, you'll be empowered to push the boundaries of your C++ expertise and unlock new possibilities in software development.
Table of Contents (24 chapters)
1
Part 1:Under the Hood of C++ Programming
7
Part 2: Designing Robust and Efficient Applications
18
Part 3:C++ in the AI World

Regression analysis

Regression analysis is concerned with finding the deviations for one value from another. The simplest way of understanding regression analysis is through the graphs for functions in mathematics. You might recall the graph for the f(x) = y function:

Figure 16.12 – Graph for the f(x) = y function

Figure 16.12 – Graph for the f(x) = y function

For every value of x, the function results in a fixed value for y. Regression analysis is somewhat similar to the preceding graph as it is concerned with finding a relationship between variables. More specifically, it estimates relationships between a dependent variable and several independent variables. The dependent variable is also known as an outcome, while the independent variables are also referred to as features. The number of features might be 1.

The most common form of regression analysis is linear regression. It looks similar to the preceding graph. Here’s an example representing the relationship between hours spent...