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 Название: Convolutional Neural Networks - Image Classification Made Easy
Автор: Carla Martins
Издательство: Independently published
Год: August 19, 2024
Страниц: 201
Язык: английский
Формат: epub
Размер: 10.1 MB
The most accurate name for Neural Networks is Multilayer Perceptrons (MLPs). We can think about MLPs as a sum of several linear models performing a number of intermediate stages before the model comes to a decision. Deep Learning models can be used for both regression and classification tasks. The tensor data structures are a simple and efficient way to store multidimensional, heterogeneous objects in memory. To manipulate Tensors in Python we use the NumPy library. Tensors are multidimensional NumPy arrays. Fundamentals of Convolution Neural Networks: You’ve probably come across the term “convolution” when reading or hearing about its application in image classification using neural networks. But let’s be honest, do you genuinely know and grasp what convolution is all about? In the context of Machine Learning, convolution refers to a mathematical operation that is commonly used in Convolutional Neural Networks (CNN) for analyzing visual data. A convolution operation involves sliding a small window, called a filter or kernel, over an input image, and performing elementwise multiplications and summations. | |
Разместил: Ingvar16 30-06-2025, 07:32 | Комментарии: 0 | Подробнее
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 Название: Modern jаvascript Bundling with Rollup: Definitive Reference for Developers and Engineers
Автор: Richard Johnson
Издательство: Nobtrex LLC
Год: 2025
Страниц: 311
Язык: английский
Формат: pdf, epub (true)
Размер: 10.1 MB
"Modern jаvascript Bundling with Rollup" is a comprehensive and expertly crafted guide designed for developers and architects aiming to master efficient and scalable jаvascript application delivery. The book begins by tracing the evolution of jаvascript bundling, offering a penetrating look at modular jаvascript’s origins, a comparative analysis of module formats such as CommonJS and ES Modules, and the motivations that have shaped today’s complex bundling landscape. With a critical survey of leading bundlers—such as Rollup, Webpack, Parcel, and esbuild—the early chapters equip readers to navigate the modern application ecosystem, from single-page applications to micro-frontends. Diving deep into the architecture and inner workings of Rollup, the book provides authoritative coverage on configuration techniques, plugin systems, and advanced extension patterns. Readers will benefit from detailed explorations of input/output options, plugin development, module resolution, code splitting, and tree shaking—accompanied by practical strategies for managing large-scale builds, performance optimizations, and bundle analysis. | |
Разместил: Ingvar16 30-06-2025, 06:24 | Комментарии: 0 | Подробнее
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 Название: Data Science: Foundations and Hands-on Experience: Handling Economic, Spatial, and Multidimensional Data with R
Автор: Fatwa Ramdani
Издательство: Springer
Год: 2025
Страниц: 422
Язык: английский
Формат: pdf (true), epub
Размер: 67.1 MB
This book will take readers from foundational concepts to practical applications, enabling them to transform raw data into meaningful insights. It covers key skills such as data collection, cleaning, organization, exploration, analysis, and impactful presentation—core competencies for navigating today’s data-rich landscape. Each chapter is designed to build both theoretical understanding and hands-on expertise. The book’s unique dual-approach structure introduces foundational Data Science concepts, followed by exercises in RStudio using real-world datasets from social fields. While many Data Science tools and programming languages are available, R stands out for its ease of learning, intuitive scripting, and the support of a vibrant, adaptive community. Its user-friendly interface, especially through RStudio, makes it an excellent choice for beginners and experienced users alike. Furthermore, although numerous books exist on Data Science, few highlight the unique power of spatial data—a critical and underexplored area in the field. This book seeks to fill that gap, offering in-depth explanations and step-by-step guidance on leveraging spatial data in research. | |
Разместил: Ingvar16 29-06-2025, 21:20 | Комментарии: 0 | Подробнее
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 Название: Python for Absolute Beginners: 4-Day Intensive Course
Автор: Klemens Nguyen
Издательство: Independently published
Год: February 18, 2024
Страниц: 145
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB
Dive into the world of Python programming with "Python for Absolute Beginners," the comprehensive guide designed to take you from the very basics of programming to deploying your own applications with confidence. Whether you're completely new to programming or looking to switch to Python from another language, this book is crafted to suit your learning pace and bolster your understanding of Python in a practical, engaging manner. Why Python, you might ask? Python is celebrated for its simplicity, versatility, and wide applicability in today's tech landscape, from web development and data analysis to Artificial Intelligence and beyond. "Python for Absolute Beginners" demystifies the complexities of programming, offering clear explanations, step-by-step tutorials, and a plethora of examples that illuminate the path to proficiency. The book seamlessly transitions from core concepts to more advanced topics, including error handling, debugging, object-oriented programming, and web development with Flask. | |
Разместил: Ingvar16 29-06-2025, 20:35 | Комментарии: 0 | Подробнее
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 Название: Red Teaming AI: Attacking & Defending Intelligent Systems
Автор: Philip A. Dursey
Издательство: AI Security LLC
Серия: AI Security Book 1
Год: 2025
Страниц: 1126
Язык: английский
Формат: pdf, epub
Размер: 15.9 MB
Think like an adversary. Secure the future of AI. Red Teaming AI - Attacking & Defending Intelligent Systems is the 1126 page field manual that shows security teams, ML engineers, and tech leaders how to break - and then harden - modern AI. The Artificial Intelligence (AI) systems you build, deploy, or manage aren't just powerful tools; they represent a fundamentally new and dangerous frontier. While promising unprecedented capabilities, they also create elusive vulnerabilities that bypass traditional defenses, leading directly to potentially catastrophic outcomes. We'll start by demystifying core AI and Machine Learning (ML) concepts, focusing specifically on the aspects an AI red teamer must grasp to identify potential weaknesses. You'll see how integrating AI dramatically expands the traditional Attack Surface, creating new, often subtle, avenues for attackers – a challenge demanding systems thinking to fully appreciate the interconnected risks and potential cascading failures. | |
Разместил: Ingvar16 29-06-2025, 19:25 | Комментарии: 0 | Подробнее
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 Название: Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications
Автор: Ajay Kumar, Deepak Dembla, Seema Tinker, Surbhi Bhatia Khan
Издательство: CRC Press
Серия: Advancements in Intelligent and Sustainable Technologies and Systems
Год: 2026
Страниц: 310
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
In recent years, Deep Learning has shown great potential in transforming various fields including healthcare. With the abundance of healthcare data being generated every day, there is a pressing need to develop efficient algorithms that can process and analyze this data to improve patient care and treatment outcomes. Handbook of Deep Learning Models for Healthcare Data Processing: Disease Prediction, Analysis, and Applications covers a wide range of Deep Learning models, techniques, and applications in healthcare data processing, analysis, and disease prediction, providing a comprehensive overview of the field. It focuses on the practical application of Deep Learning models in healthcare and offers step-by-step instructions for building and deploying models and using real-world examples. The handbook discusses the potential future applications of Deep Learning models in healthcare, such as precision medicine, personalized treatment, and clinical decision support. It also addresses the ethical considerations associated with the use of Deep Learning models in healthcare, such as privacy, security, and bias. It provides technical details on Deep Learning models, including their architecture, training methods, and optimization techniques, making it useful for data scientists and researchers. | |
Разместил: Ingvar16 29-06-2025, 17:26 | Комментарии: 0 | Подробнее
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 Название: GeoAI: Artificial Intelligence in GIS
Автор: Ismael Chivite, Nicholas Giner, Matt Artz
Издательство: Esri Press
Год: 2025
Страниц: 124
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Discover how organizations are powering greater automation, prediction, and optimization with GeoAI. GeoAI integrates Artificial Intelligence, or AI, with geospatial data, science, and technology to increase understanding and solve spatial problems. AI is the ability of computers to perform tasks that typically require some level of human intelligence and reasoning—through programming that continually adapts, infers patterns, generalizes, and improves output over time. We can use GeoAI for applications such as detecting and categorizing objects in imagery and lidar, identifying clusters and anomalies in data, and making predictions and forecasts. The intersection of GIS, AI, Machine Learning, and Deep Learning creates opportunities that weren’t available before. Understanding Python unlocks more capabilities in any GIS workflow, and Deep Learning is no exception. The Python API is a Python library for scripting workflows across the ArcGIS suite, including for GIS organization administration, content management, and spatial analysis/data science. Using the Python API library allows users to leverage some of the best open-source Machine Learning and Deep Learning libraries and seamlessly integrate them into the ArcGIS ecosystem. Another benefit of using the Python API is that it is designed for web-hosted features so you can work with hosted imagery and feature classes. | |
Разместил: Ingvar16 29-06-2025, 16:47 | Комментарии: 0 | Подробнее
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 Название: Kickstart Compiler Design Fundamentals: Practical Techniques and Solutions for Compiler Design, Parsing, Optimization, and Code Generation
Автор: Sandeep Telkar R, Rajesh Yakkundimath, Likewin Thomas, Divyashree Mallarapu
Издательство: Orange Education Pvt Ltd, AVA
Год: 2025
Страниц: 739
Язык: английский
Формат: epub (true)
Размер: 10.1 MB
Unveiling Compiler Secrets from Source to Execution. Compilers are the backbone of modern computing, enabling programming languages to power everything from web applications to high-performance systems. Kickstart Compiler Design Fundamentals is the perfect starting point for anyone eager to explore the world of compiler construction. This book takes a structured, beginner-friendly approach to demystifying core topics such as lexical analysis, syntax parsing, semantic analysis, and code optimization. The chapters follow a progressive learning path, beginning with the basics of function calls, memory management, and instruction selection. As you advance, you’ll dive into machine-independent optimizations, register allocation, instruction-level parallelism, and data flow analysis. This book serves as a comprehensive guide to compiler design, taking you from the fundamental concepts to the intricate workings of modern compilers. This book is ideal for students of BE, BTech, BCA, MCA, BS, MS and other undergraduate Computer Science courses, as well as software engineers, system programmers, and compiler enthusiasts looking to grasp the fundamentals of compiler design. A basic understanding of programming, data structures, and algorithms is recommended. | |
Разместил: Ingvar16 29-06-2025, 06:52 | Комментарии: 0 | Подробнее
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 Название: LLM Reliability: Performance, hallucinations, accuracy, and bias (MEAP v6)
Автор: Rush Shahani
Издательство: Manning Publications
Год: 2025
Страниц: 310
Язык: английский
Формат: pdf, epub
Размер: 14.2 MB
Tested strategies to reduce hallucinations, improve performance and cost efficiency, and reduce bias or unethical behavior in your LLMs outputs. LLM Reliability shows you exactly how to guide large language models from research prototypes to scalable, robust, and efficient production systems. From model training to maintenance, an engineer will find everything they need to work with LLMs in this one-stop guide. This book is written for developers, engineers, and data scientists who are ready to take their knowledge of Large Language Models (LLMs) beyond theory and into real-world, production-level applications. To get the most out of this book, it helps if you have a basic understanding of Python programming and some familiarity with LLMs like OpenAI and Claude. If you’re comfortable with LLM basics like hallucinations and prompting, you’re well-prepared to jump right in. Even if you’re newer to LLMs, this book is designed to build on foundational knowledge and guide you step-by-step toward successfully deploying LLMs in production environments. For data scientists or software engineers confident in Python and NLP. | |
Разместил: Ingvar16 29-06-2025, 05:58 | Комментарии: 0 | Подробнее
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 Название: 3D Game Engine Development: Learn how to Build a Cross-Platform 3D Game Engine with C++ and OpenGL
Автор: Franc Pouhela
Издательство: Independently published
Год: 2024
Страниц: 713
Язык: английский
Формат: epub
Размер: 15.6 MB
Developing a custom game engine in today's landscape might raise eyebrows among many, as there's an abundance of really good free and open-source alternatives readily accessible. To challenge this prevailing wisdom might appear unconventional at best. However, I firmly believe that there are compelling reasons for you to explore this intricate world. In this book, you will embark on a journey to build a cross-platform 3D game engine from scratch using C++ and OpenGL. The adventure begins with setting up a versatile development environment and a robust build system, laying the foundation for the challenges that lie ahead. As the journey progresses, we venture into more advanced terrain, tackling the implementation of critical features such as graphics rendering, physics, scripting, serialization, etc. Finally, it culminates with the implementation of a graphical user interface to improve interaction with the engine's features and game creation. | |
Разместил: Ingvar16 29-06-2025, 05:06 | Комментарии: 0 | Подробнее
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