Before Machine Learning Volume 1 - Linear Algebra for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence

Jorge Brasil

In this book, you'll embark on a comprehensive journey through the fundamentals of linear algebra, a critical component for any aspiring machine learning expert. Starting with an introductory overview, the course explains why linear algebra is indispensable for machine learning, setting the stage for deeper exploration. You'll then dive into the concepts of vectors and matrices, understanding their definitions, properties, and practical applications in the field.As you progress, the course takes a closer look at matrix decomposition, breaking down complex matrices into simpler, more manageable forms. This section emphasizes the importance of decomposition techniques in simplifying computations and enhancing data analysis. The final chapter focuses on principal component analysis, a powerful technique for dimensionality reduction that is widely used in machine learning and data science. By the end of the course, you will have a solid grasp of how PCA can be applied to streamline data and improve model performance.This course is designed to provide technical professionals with a thorough understanding of linear algebra's role in machine learning. By the end, you'll be well-equipped with the knowledge and skills needed to apply linear algebra in practical machine learning scenarios.

Before Machine Learning Volume 2 - Calculus for A.I. The Fundamental Mathematics for Data Science and Artificial Intelligence

Jorge Brasil

This book takes readers on a structured journey through calculus fundamentals essential for AI. Starting with “Why Calculus?” it introduces key concepts like functions, limits, and derivatives, providing a solid foundation for understanding machine learning.As readers progress, they will encounter practical applications such as Taylor Series for curve fitting, gradient descent for optimization, and L'Hôpital’s Rule for managing undefined expressions. Each chapter builds up from core calculus to multidimensional topics, making complex ideas accessible and applicable to AI.The final chapters guide readers through multivariable calculus, including advanced concepts like the gradient, Hessian, and backpropagation, crucial for neural networks. From optimizing models to understanding cost functions, this book equips readers with the calculus skills needed to confidently tackle AI challenges, offering insights that make complex calculus both manageable and deeply relevant to machine learning.

Before Machine Learning Volume 3 - Probability and Statistics for A.I . Master Probability, Statistics, and Their Role in AI's Future Evolution

Jorge Brasil

Delve into the importance of probability and statistics in AI, beginning with fundamental measures like mean, median, and variance. This book takes you on a journey through the basics of probability theory, introducing key concepts such as central tendency, variance, and probability distributions. It emphasizes the role of statistical measures in understanding and analyzing data.Building on these foundations, the book explores hypothesis testing, Bayesian inference, and statistical distributions in-depth. Readers will gain practical insights into essential techniques for model evaluation, maximum likelihood estimation, and the interpretation of data in the context of AI applications. Each concept is illustrated with practical examples and case studies to ensure clarity and application.Finally, advanced topics like Markov processes, hierarchical Bayesian models, and multivariate distributions are introduced. The book addresses critical areas like variance, correlation, and hypothesis testing, equipping readers with the skills to tackle real-world challenges in AI and machine learning. Whether you're a student, professional, or AI enthusiast, this book offers the essential statistical tools and knowledge to excel in the field.

Beginning API Development with Node.js. Build highly scalable, developer-friendly APIs for the modern web with JavaScript and Node.js

Anthony Nandaa

Using the same framework to build both server and client-side applications saves you time and money. This book teaches you how you can use JavaScript and Node.js to build highly scalable APIs that work well with lightweight cross-platform client applications. It begins with the basics of Node.js in the context of backend development, and quickly leads you through the creation of an example client that pairs up with a fully authenticated API implementation. By the end of the book, you’ll have the skills and exposure required to get hands-on with your own API development project.

Beginning C# 7 Hands-On - Advanced Language Features. Learn the advanced-level features of C# 7 using Visual Studio 2017

Tom Owsiak

Beginning C# 7 Hands-On – Advanced Language Features assumes that you’ve mastered the basic elements of the C# language and that you're now ready to learn the more advanced C# language and syntax, line by line, in a working Visual Studio environment. You'll learn how to code advanced C# language topics including generics, lambda expressions, and anonymous methods.You'll learn to use query syntax to construct queries and deploy queries that perform aggregation functions. Work with C# and SQL Server 2017 to perform complex joins and stored procedures. Explore advanced file access methods, and see how to serialize and deserialize objects – all by writing working lines of code that you can run within Visual Studio.This book is designed for beginner C# developers who have mastered the basics now, and anyone who needs a fast reference to using advanced C# language features in practical coding examples. You'll also take a look at C# through web programming with web forms. By the time you’ve finished this book, you’ll know all the critical advanced elements of the C# language and how to program everything from C# generics to XML, LINQ, and your first full MVC web applications. These are the advanced building blocks that you can then combine to exploit the full power of the C# programming language, line by line.

Beginning C# 7 Hands-On - The Core Language. Learn the C# language by coding it element by element

Tom Owsiak

Beginning C# 7 Hands-On - The Core Language teaches you core C# language and syntax in a working Visual Studio environment. This book covers everything from core language through to more advanced features such as object-oriented programming techniques. This book is for C# 7 beginners who need a practical reference to core C# language features. You'll also gain a view of C# 7 through web programming with web forms, so you'll learn HTML, basic CSS, and how to use a variety of controls, such as buttons and drop-down lists. You'll start with the fundamentals of C# and Visual Studio, including defining variables, interacting with users, and understanding data types, data conversions, and constants. You'll move on to checking conditions using if/else blocks, and see how to use loops to do things such as repeat blocks of code. After covering various operators to evaluate and assign control structures, you'll see how to use arrays to store collections of data. By the time you’ve finished the book, you’ll know how to program the vital elements of the core C# language. These are the building blocks that you can then combine to build complex C# programs.

Beginning C++ Game Programming. Learn C++ from scratch and get started building your very own games

John Horton

This book is all about offering you a fun introduction to the world of game programming, C++, and the OpenGL-powered SFML using three fun, fully-playable games. These games are an addictive frantic two-button tapper, a multi-level zombie survival shooter, and a split-screen multiplayer puzzle-platformer.We will start with the very basics of programming, such as variables, loops, and conditions and you will become more skillful with each game as you move through the key C++ topics, such as OOP (Object-Orientated Programming), C++ pointers, and an introduction to the Standard Template Library. While building these games, you will also learn exciting game programming concepts like particle effects, directional sound (spatialization), OpenGL programmable Shaders, spawning thousands of objects, and more.

Beginning C++ Game Programming. Learn C++ from scratch by building fun games - Third Edition

John Horton

Always dreamed of creating your own games? With the third edition of Beginning C++ Game Programming, you can turn that dream into reality! This beginner-friendly guide is updated and improved to include the latest features of VS 2022, SFML, and modern C++20 programming techniques. You'll get a fun introduction to game programming by building four fully playable games of increasing complexity. You'll build clones of popular games such as Timberman, Pong, a Zombie survival shooter, and an endless runner.The book starts by covering the basics of programming. You'll study key C++ topics, such as object-oriented programming (OOP) and C++ pointers and get acquainted with the Standard Template Library (STL). The book helps you learn about collision detection techniques and game physics by building a Pong game. As you build games, you'll also learn exciting game programming concepts such as vertex arrays, directional sound (spatialization), OpenGL programmable shaders, spawning objects, and much more. You’ll dive deep into game mechanics and implement input handling, levelling up a character, and simple enemy AI. Finally, you'll explore game design patterns to enhance your C++ game programming skills.By the end of the book, you'll have gained the knowledge you need to build your own games with exciting features from scratch.