Название: Expert Linux Development: Mastering System Calls, Filesystems, and Inter-Process Communication
Автор: Adam Jones
Издательство: NOB TREX L.L.C.
Год: 2025
Страниц: 351
Язык: английский
Формат: pdf, epub (true)
Размер: 13.0 MB

"Expert Linux Development: Mastering System Calls, Filesystems, and Inter-Process Communication" is an indispensable resource for software developers, system administrators, and advanced users eager to elevate their understanding of Linux's powerful capabilities. This meticulously curated text delves deep into the Linux kernel, elucidating the nuances of system calls, filesystem management, and the intricacies of inter-process communication. Each chapter, composed with clarity and precision, addresses critical topics such as process handling, memory management, and network programming, providing readers with a comprehensive toolkit for optimizing and securing Linux environments. Whether it's handling complex synchronization issues, debugging sophisticated applications, or securing network communications, this book offers expert guidance and practical examples to navigate and master the complexities of Linux programming. It's designed not just to inform, but to transform competent Linux programmers into adept architects of robust, efficient, and secure software systems. Embrace this resource to harness the full potential of Linux and take your programming prowess to remarkable new heights.

Название: Быстрое программирование на С++
Автор: Тяпичев Г.А.
Издательство: СОЛОН-Пресс
Год: 2017
Cтраниц: 373
Формат: pdf
Размер: 43 мб
Язык: русский

Книга предназначена для широкого круга читателей, которые не знакомы с каким-либо языком программирования, но мечтают о создании компьютерных программ собственными силами. Автор предлагает читателю самостоятельно научиться программированию в среде C++ Builder по разработанной им методике «начать от нуля». В процессе работы над книгой читатель научится создавать проекты компьютерных программ и, одновременно, будет осваивать основы языка программирования C/C++, а также требования среды программирования. В книге рассмотрены вопросы создания справочных систем и инсталляции программ, описаны особенности программирования звука и принтера, вопросы программирования для Интернета.

Название: Mastering Machine Learning: A-Z Guide to Python, Keras, and Scikit-learn for Real-World Applications
Автор: Kenji Aya
Издательство: Independently published
Год: October 13, 2024
Страниц: 369
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Machine learning is driving innovation in every industry, from healthcare to finance and entertainment. Python, Keras, and Scikit-learn are essential tools in the AI ecosystem, offering scalable solutions to build, train, and deploy intelligent models for real-world applications. This book covers everything you need to master these technologies and create your own AI solutions. Kenji Aya, an expert in Machine Learning and AI, brings his practical experience and deep industry knowledge to this book. With years of hands-on expertise in applying Python, Keras, and Scikit-learn to solve real-world problems, this book is a trusted resource for anyone looking to enhance their ML skills. "Mastering Machine Learning: A-Z Guide to Python, Keras, and Scikit-learn for Real-World Applications" is a comprehensive guide designed to help you master Machine Learning, from basic principles to advanced topics. Packed with practical examples, hands-on projects, and step-by-step tutorials, this book provides the tools you need to build and deploy Machine Learning models in real-world scenarios, whether you’re predicting customer behavior, recommending products, or analyzing images.

Название: Image Processing, Computer Vision, and Pattern Recognition and Information and Knowledge Engineering
Автор: Leonidas Deligiannidis, Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Soheyla Amirian
Издательство: Springer
Серия: Communications in Computer and Information Science
Год: 2025
Страниц: 397
Язык: английский
Формат: pdf (true)
Размер: 48.3 MB

This book constitutes the proceedings of the 28th International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2024, and the 23rd International Conference on Information and Knowledge Engineering, IKE 2024, held as part of the 2024 World Congress in Computer Science, Computer Engineering and Applied Computing, in Las Vegas, USA, during July 22 to July 25, 2024. The 19 IPCV 2024 papers included in these proceedings were carefully reviewed and selected from 98 submissions. IKE 2024 received 40 submissions and accepted 10 papers for inclusion in the proceedings. The papers have been organized in topical sections as follows: Image processing, computer vision and pattern recognition; image processing, computer vision and pattern recognition - detection methods; and information and knowledge engineering.

Название: Mastering Data Visualization: Matplotlib, Seaborn, Plotly, and Bokeh
Автор: Muslum Yildiz
Издательство: Independently published
Год: December 25, 2024
Страниц: 330
Язык: английский
Формат: epub
Размер: 52.3 MB

In a world overflowing with data, the challenge isn't just collecting or analyzing information—it’s making sense of it. Imagine this: a snowflake, as delicate as it is intricate, forms under unique atmospheric conditions—temperature, humidity, wind speed—all converging to create a one-of-a-kind structure. Each snowflake is different, even though they share the same general structure. In the same way, data comes in countless forms, each with its own nuances and characteristics, and just as no two snowflakes are the same, no two data points should be treated as identical. The snowflake metaphor speaks to the heart of data visualization. This book, "Mastering Data Visualization: Matplotlib, Seaborn, Plotly, and Bokeh", takes you on a journey through the world of data visualization tools and techniques. From the basics of data types to the powerful capabilities of Python libraries like Matplotlib, Seaborn, Plotly, and Bokeh, we'll explore how to create visualizations that speak to both the heart and the mind. But, much like a snowflake, the process of learning data visualization is anything but linear.

Название: CUDA C++ Optimization: Coding Faster GPU Kernels
Автор: David Spuler
Издательство: Aussie AI Labs Pty Ltd.
Год: October 14, 2024
Страниц: 233
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Increase the efficiency of CUDA C++ kernels for AI and high-performance computing on the powerful NVIDIA GPUs. Leverage your GPU investment with the power of an efficient software layer. NVIDIA’s CUDA C++ environment is an incredible platform that allows the programmer to work at a much more productive level, far away from the low-level details of parallel programming on a GPU. But sometimes, you just can’t avoid getting back down into the boiler room to make things even faster! This book examines a variety of techniques for optimizing CUDA C++ programs, from beginner to advanced, along with a catalog of common CUDA C++ slugs to avoid. For anyone programming in CUDA C++ or trying to learn the language will benefit from better optimization skills! This book examines speedups in coding from beginner to advanced, starting with basic optimization techniques. In the later chapters, the book then covers a variety of advanced techniques for faster kernels, and a variety of common “slugs” that slow down CUDA programs.

Название: Systemic Approach to Categorizing and Modeling Requirements
Автор: Azeddine Chikh
Издательство: Wiley-ISTE
Серия: Computer Engineering Series
Год: 2025
Страниц: 197
Язык: английский
Формат: pdf (true)
Размер: 14.8 MB

Current categorizations of software requirements are highly ambiguous and inconsistent, mainly due to the lack of a clear, common framework for defining software elements and relevant environmental factors. This book overhauls the traditional approach by proposing an innovative systemic method for categorizing and modeling software requirements. It introduces an unprecedented frame of reference, putting an end to divergent interpretations by precisely defining software elements and environmental factors. This framework forms an indispensable basis for all the other components of this approach: a redefinition of requirements, a hybrid categorization that combines several taxonomies and scales, a metadata model used to qualify requirements, and a multi-view model that represents all possible categories of requirements. By adopting this new approach, professionals will be able to improve the clarity, precision and relevance of their specifications, and thus optimize the success of their software projects.

Название: AI for Robotics: Toward Embodied and General Intelligence in the Physical World
Автор: Alishba Imran, Keerthana Gopalakrishnan
Издательство: Apress
Год: 2025
Страниц: 464
Язык: английский
Формат: pdf
Размер: 19.6 MB

This book approaches robotics from a Deep Learning perspective. Artificial Intelligence (AI) has transformed many fields, including robotics. This book shows you how to reimagine decades-old robotics problems as AI problems and is a handbook for solving problems using modern techniques in an era of large foundation models. The book begins with an introduction to general-purpose robotics, how robots are modeled, and how physical intelligence relates to the movement of building artificial general intelligence, while giving you an overview of the current state of the field, its challenges, and where we are headed. The first half of this book delves into defining what the problems in robotics are, how to frame them as AI problems, and the details of how to solve them using modern AI techniques. The second part of this book is concerned with applications of robotics in specialized contexts. You will develop full stack knowledge by applying the techniques discussed in the first part to real-world use cases. In summary, this book offers insights into cutting-edge Machine Learning techniques applied in robotics, along with the challenges encountered during their implementation and practical strategies for overcoming them.

Название: Developer Experience Unleashed: The Art of Crafting Efficient Developer Environments
Автор: K. Rain Leander
Издательство: Apress
Год: 2025
Страниц: 423
Язык: английский
Формат: pdf
Размер: 50.8 MB

Explore the intricate world of developer experience (DevEx) and its impact on the software development process. This book delves into the critical components of DevEx, such as documentation, tooling, API design, developer support, performance, and reliability, providing actionable insights and strategies to help organizations create development environments that foster productivity, collaboration, and satisfaction among developers. The main topics you'll review include the evolution of software development methodologies, the intersection of user experience (UX) and DevEx, and an in-depth exploration of the critical components of DevEx. You'll also look at practical approaches to improving DevEx, real-world examples of organizations that have successfully transformed their developer experience, and a discussion of DevEx's future trends and challenges. These topics are crucial as the software development landscape has become increasingly complex and competitive.

Название: Mastering AI for Healthcare: Revolutionizing Patient Care and Outcomes Through Hands-on AI-Driven Solutions
Автор: Nilashis Roy, Romita Ghosh
Издательство: Orange Education Pvt Ltd.
Год: 2025
Страниц: 571
Язык: английский
Формат: pdf, epub
Размер: 19.9 MB

Harness AI-led Revolution to Deliver Smarter, Faster, and Better Healthcare. Artificial Intelligence (AI) is rapidly becoming indispensable in modern healthcare—reshaping how we diagnose, treat, and deliver care. Mastering AI for Healthcare offers a clear, structured journey through this transformation, helping readers understand the critical role AI plays in improving clinical outcomes and operational efficiency. The book begins with foundational AI concepts tailored for healthcare professionals, establishing a solid base in Machine Learning, neural networks, and Data Science. It then guides readers through practical applications across the care continuum—exploring how predictive analytics can forecast disease risks, how AI powers telemedicine and remote monitoring systems, and how it enhances clinical decision-making through smarter, data-driven EHR systems. Each chapter builds with real-world examples, case studies, and implementation frameworks, offering clarity on emerging tools like computer vision for diagnostics, personalized treatment algorithms, and intelligent automation in hospital workflows.