Название: Tackling Imbalanced Data with Python: Advanced Techniques and Real-World Applications for Tackling Class Imbalance
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1749
Язык: английский
Формат: epub (true)
Размер: 14.7 MB

Tackling Imbalanced Data with Python: Advanced Techniques and Real-World Applications for Tackling Class Imbalance is a comprehensive guide designed for data scientists, Machine Learning engineers, and practitioners who face the ubiquitous challenge of imbalanced datasets. This book addresses one of the most critical yet underexplored problems in Machine Learning, where traditional algorithms fail to perform effectively on datasets with skewed class distributions. The book provides a systematic approach to understanding and solving class imbalance problems, covering everything from fundamental concepts to cutting-edge techniques. Readers will master data-level solutions including SMOTE and advanced synthetic data generation, algorithm-level approaches such as cost-sensitive learning and focal loss, and ensemble methods specifically designed for imbalanced data. The book extensively covers Deep Learning adaptations, computer vision applications, and natural language processing solutions for imbalanced scenarios. Each chapter includes detailed Python implementations using popular libraries like Scikit-learn, Imbalanced-learn, PyTorch, and TensorFlow.

Название: Python Programming for Young Coders: A Hands-On, Project-Based Introduction to Coding for Beginners, Kids, and Teens
Автор: Anand Pandey
Издательство: Scrib Ink Publishing
Год: 2025
Страниц: 252
Язык: английский
Формат: pdf
Размер: 14.1 MB

Are you a young coder (age 10 +) eager to learn Python? Whether you're a kid, teen, homeschooler, or student—whether in school or college—this book is the perfect starting point for your computer programming journey for beginners. Python Programming for Young Coders breaks down complex programming concepts into easy-to-understand chunks, relating them to real-life examples that resonate with young minds. Starting with the absolute basics, you'll gradually progress through 16 engaging chapters packed with clear explanations, vibrant illustrations, and interactive activities. Each chapter concludes with a review quiz to reinforce learning and ensure mastery of the material. Python is one of the most popular programming languages for beginners. It does not present itself with a complex set of rules and syntax. It has an English-like syntax, which makes it a beginner-friendly language. Python is also a versatile language used for a variety of tasks and in different industries. This book is written keeping beginners in mind. You don’t need to know any programming to get started with this book.

Название: Engineering Mathematics with MATLAB and Simulink
Автор: Farzin Asadi
Издательство: Springer
Год: 2025
Страниц: 496
Язык: английский
Формат: pdf (true)
Размер: 43.1 MB

This book summarizes the mathematics used by engineers, with an emphasis on developing practical skills and techniques for solving mathematical problems in forms typical of engineering. In addition to paper-and-pencil techniques, the book demonstrates how to solve engineering mathematics problems using state-of-the-art software packages. Simulink is a powerful graphical programming environment designed for modeling, simulating, and analyzing dynamical systems. It’s part of the MATLAB suite of tools, offering a user-friendly interface for creating block diagrams that represent system components and their interactions.

Название: Math for Data Science
Автор: Omar Hijab
Издательство: Springer
Год: 2025
Страниц: 588
Язык: английский
Формат: pdf (true)
Размер: 20.8 MB

Math for Data Science presents the mathematical foundations necessary for studying and working in Data Science. The book is suitable for courses in applied mathematics, business analytics, Computer Science, Data Science, and engineering. The text covers the portions of linear algebra, calculus, probability, and statistics prerequisite to Data Science. The highlight of the book is the Machine Learning chapter, where the results of the previous chapters are applied to neural network training and stochastic gradient descent. Also included in this last chapter are advanced topics such as accelerated gradient descent and logistic regression trainability. Clear examples are supported with detailed figures and Python code; Jupyter notebooks and supporting files are available on the author's website. More than 380 exercises and nine detailed appendices covering background elementary material are provided to aid understanding. The standard Python data science packages are used, and a Python index lists the functions used in the text.

Название: Mathematical Foundations Guide to Neural Networks: CNNs, RNNs, LSTMs, Autoencoders, Attention Mechanisms, and More
Автор: Alec Stovari
Издательство: Independently published
Серия: Python Fundamentals
Год: 2025
Страниц: 179
Язык: английский
Формат: pdf
Размер: 10.1 MB

With clear explanations and detailed insights, in 170+ pages, you will learn the inner workings of backpropagation, convolutional neural networks (CNNs), recurrent neural networks (RNNs), and long short-term memory networks (LSTMs). The book also dives into advanced techniques such as dropout, autoencoders, and attention layers that are transforming the AI landscape. Dive deep into the theory behind each model, understand their applications, and master the mathematics that power modern Machine Learning. Key Topics Covered: - The theoretical foundations of Neural Networks; - Backpropagation and optimization techniques; - Convolutional Neural Networks (CNNs) for image recognition and more; - Recurrent Neural Networks (RNNs) and their sequential data processing power; - Attention mechanisms and transformer models revolutionizing NLP; - Advanced Deep Learning architectures and real-world applications; - Mathematical principles behind Deep Learning algorithms. This book serves as both an academic reference and a practical guide.

Название: Architecting Go Applications: A Clean Approach to Building Scalable Gin Web Services
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1864
Язык: английский
Формат: epub (true)
Размер: 21.6 MB

This comprehensive guide takes developers through the journey of designing and building robust web applications using Go and the Gin framework. The book bridges theoretical clean architecture principles with practical implementation, providing a blueprint for creating maintainable, scalable, and high-performance web services. Starting with foundational concepts of clean architecture and Go programming paradigms, readers will progressively learn how to structure applications using SOLID principles and domain-driven design. The book offers detailed guidance on implementing clean architecture layers, building RESTful and GraphQL APIs, and establishing effective data access patterns. Advanced topics include microservice architecture, testing strategies across all layers, deployment pipelines, and performance optimization techniques. Real-world case studies demonstrate how to apply these principles to various application types, from e-commerce platforms to content management systems.

Название: Embodied Multi-agent Systems: Perception, Action and Learning
Автор: Huaping Liu, Xinzhu Liu, Kangyao Huang, Di Guo
Издательство: Springer
Серия: Machine Learning: Foundations, Methodologies, and Applications
Год: 2025
Страниц: 246
Язык: английский
Формат: pdf (true)
Размер: 19.7 MB

In recent years, embodied multi-agent systems, including multi-robots, have emerged as essential solution for demanding tasks such as search and rescue, environmental monitoring, and space exploration. Effective collaboration among these agents is crucial but presents significant challenges due to differences in morphology and capabilities, especially in heterogenous systems. While existing books address collaboration control, perception, and learning, there is a gap in focusing on active perception and interactive learning for embodied multi-agent systems. This book aims to bridge this gap by establishing a unified framework for perception and learning in embodied multi-agent systems. It presents and discusses the perception-action-learning loop, offering systematic solutions for various types of agents—homogeneous, heterogeneous, and ad hoc. Beyond the popular Reinforcement Learning techniques, the book provides insights into using fundamental models to tackle complex collaboration problems. By interchangeably utilizing constrained optimization, Reinforcement Learning, and fundamental models, this book offers a comprehensive toolkit for solving different types of embodied multi-agent problems. Readers will gain an understanding of the advantages and disadvantages of each method for various tasks. This book is suitable as a reference book for graduate students with a basic knowledge of Machine Learning, as well as for professional researchers interested in robotics and embodied intelligence.

Название: Generative AI for Cloud Solutions: Building end-to-end generative AI stacks with cloud services and model orchestration pipelines
Автор: Sireesha Muppala, Randy DeFauw, Sina Sojoodi
Издательство: BPB Publications
Год: 2025
Страниц: 316
Язык: английский
Формат: epub (true)
Размер: 15.2 MB

Generative AI is transforming every industry, with applications ranging from creative content generation, simple chatbots, to entirely new ways of engaging with consumers. But there is as much uncertainty as buzz—understanding how to use this technology securely and responsibly, and recognizing what the pitfalls are. In this book, we will put together a complete picture of Generative AI development on modern cloud platforms, covering all stages of building and operating a production-grade solution with consideration for performance, security, governance, and responsibility. Conceptual discussions will be accompanied by functional examples, using working code on Amazon Web Services (AWS) cloud to demonstrate key concepts. We will explore the full lifecycle, from initial model selection and fine-tuning to production deployment, monitoring, and ongoing operation. Key aspects include prompt engineering, data integration techniques, observability, the shared responsibility model, and the full solution lifecycle from design to operation. Additionally, we will discuss recommendations for prioritizing a Generative AI roadmap for organizations and emerging trends in the field.

Название: Infrastructure as Code with Azure Bicep: Infrastructure development through Bicep modules, template specs, and DevOps automation pipelines
Автор: Adora Nwodo
Издательство: BPB Publications
Год: 2025
Страниц: 268
Язык: английский
Формат: pdf, epub (true)
Размер: 11.2 MB

Azure Bicep is a powerful language for deploying Azure resources declaratively, providing a simpler and more efficient alternative to JSON for creating Azure Resource Manager templates. It streamlines the process of defining, provisioning, and managing cloud infrastructure, making Infrastructure as Code (IaC) more accessible and effective. This book provides a comprehensive guide to Azure Bicep, starting with an introduction to IaC, Bicep's core concepts, and a comparative analysis with ARM templates. It covers installation, setup, fundamental syntax, and practical template creation and deployment. Readers will learn to utilize variables, parameters, expressions, conditions, and loops for dynamic configurations. The book explores modularity through Bicep modules and template specs, as well as compilation and decompilation processes. Automation is emphasized with GitHub Actions and Azure DevOps CI/CD pipelines, including monitoring and troubleshooting. Advanced topics include scaling Bicep for large projects, secret management, cross-subscription deployments, and Policy as Code (PaC). By the end of the book, you will have the tools and knowledge to implement IaC principles in your workflow, accelerating the development of reliable and scalable Azure cloud applications.

Название: Event-Database Architecture for Computer Games: Volume 1, Software Architecture and the Software Production Process
Автор: Rodney Quaye
Издательство: CRC Press
Год: 2026
Страниц: 280
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

Event-Database Architecture for Computer Games proposes the first explicit software architecture for game development, answering the problem of building modern Computer Games with little or no game design. An archetypal software production process, based on this architecture, is also introduced. This volume begins by describing the formal definition of software production processes in general and the production process of Computer Games in particular. It introduces the two basic principles behind the software architecture that addresses the communication and productivity problems of a degenerative production process. It goes on to describe the archetypal software production process and outlines the role that the Game Designers, Game Programmers, Game Artists, Sound Designers and Game Testers play in that process. This book will be of great interest to professional game developers involved in programming roles, such as Tools Programmers, UI Programmers, Gameplay Programmers and Engineers, as well as students studying game development and programming.