Название: Brain Networks in Neuroscience: Personalization Unveiled Via Artificial Intelligence
Автор: Md. Mehedi Hassan, Farhana Yasmin, Sheikh Mohammed Shariful Islam, Anupam Kumar Bairagi, Si Thu Aung
Издательство: River Publishers
Год: 2025
Страниц: 342
Язык: английский
Формат: epub (true)
Размер: 22.2 MB

This book is an in-depth exploration of brain networks, providing a comprehensive understanding of their structures, functions, and implications for personalization through Artificial Intelligence (AI). Readers will gain insights into the intricate workings of the brain, making this book an indispensable resource for those seeking a thorough grasp of neuroscience concepts. It offers the seamless integration of neuroscience principles with Artificial Intelligence applications. The book bridges these two domains, elucidating how advancements in AI draw inspiration from the complexities of the human brain. This interdisciplinary approach sets the book apart, offering readers a holistic view of cutting-edge technologies. Readers can expect practical applications and real-world case studies that illustrate the tangible benefits of the concepts discussed. This practical emphasis enhances the book’s relevance for professionals and researchers alike. The inclusion of online enhancements, such as interactive visualizations, downloadable supplementary materials, and engaging video content, transforms the reading experience into an interactive learning journey. This added value distinguishes the book by providing readers with hands-on tools to deepen their understanding and apply newfound knowledge. This book doesn’t just dwell on current technologies; it takes readers into the future by exploring emerging trends at the intersection of neuroscience and Artificial Intelligence.

Название: Computer Science for the IB Diploma
Автор: Paul Baumgarten, Ioana Ganea, Carl Turland
Издательство: Hachette Learning
Год: 2025
Страниц: 496
Язык: английский
Формат: epub (true)
Размер: 38.6 MB

Developed in cooperation with the International Baccalaureate. Ensure students gain clarity, confidence, and an in-depth understanding to master the updated Computer Science syllabus for both Higher Level (HL) and Standard Level (SL). Closely following the structure of the revised guide, this new resource fully covers the updated assessment format and essential topics, organised by the two key themes, Concepts in Computer Science and Computational Thinking and Problem-Solving. Provide complete coverage of the latest syllabus set for first assessment in 2027 with a student-focused resource written by experienced educators and examiners. Empower students to navigate their coursework with confidence through an engaging, inquiry-based approach that emphasises conceptual understanding. Streamline your lesson planning; the unit and chapter titles match syllabus sections precisely to save you time and enhance learning efficiency. The resource also provides flexibility in choice of programming language (Java and Python) to cater to diverse teaching and learning preferences.

Название: Analysis and Design of Next-Generation Software Architectures: Generative AI, Cybersecurity, and Cloud Computing, 2nd Edition
Автор: Arthur M. Langer
Издательство: Springer
Год: 2025
Страниц: 331
Язык: английский
Формат: pdf (true), epub
Размер: 35.6 MB

The 2nd edition will add a major chapter on Generative AI in Software Architecture. This chapter will provide a comprehensive background in generative models, its impact on software design, evolution of new analysis methodologies, and the overall impact of the Systems Development Life Cycle (SDLC). The new edition will also have new sections relating to Generative AI in Cybersecurity analysis and design, including proactive threat detection, ethical issues regarding privacy, and Generative AI workflows (Charlotte AI). Other updates include Legacy System interfaces with Generative AI, new impacts on project management, and Platform design architecture. The 2nd edition will have a number of editing changes and corrections, as well as about 30 pages net of some eliminations of outdated content.

Название: Осознанный Python — ООП
Автор: Buddha IT
Издательство: stepik
Год: 2025
Формат: HTML
Страниц: много
Размер: 112 Mb
Язык: Русский

Погружайтесь в мир Объектно-Ориентированного Программирования с нашим увлекательным курсом на языке Python! Легко усваивайте материал благодаря простым объяснениям, множеству практических примеров и интересных заданий. Ощутите поддержку автора и наслаждайтесь уникальной сюжетной линией, которая поднимет настроение даже в сложные моменты. Вас ждет "ламповая" атмосфера тепла и доброты, которая сделает обучение не только полезным, но и приятным. Присоединяйтесь и начните свое путешествие в ООП уже сегодня!

Название: Understanding the Artificial Intelligence Revolution: Between Catastrophe and Utopia
Автор: Shalom Lappin
Издательство: CRC Press
Год: 2025
Страниц: 168
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

After many years during which it languished in relative obscurity, in remote classrooms of Computer Science departments and in small prototype projects for tech companies, Artificial Intelligence (AI) is now a searingly hot topic across the media. Yet much of the public discussion is so feverish that an understanding of the basic scientific and engineering elements of the field is easily lost, often resulting in exaggerated claims, as well as dangerously neglected threats. This concise and sober book presents a brief history of AI, explaining in clear language the central engineering innovations that have produced the current revolution. It distinguishes between imagined dangers and the very real problems that AI is creating. Spread across seven short and accessible chapters, this book explains the developments behind Deep Learning and the applications of deep neural networks (DNNs). Automatic code generation applies NMT methods to mapping natural language text into computer code. It permits programmers to create, test, and correct code in a variety of languages. As DNN (Deep Neural Network) code generation improves in quality, it will replace much of the manual work in programming. This will allow software engineers to focus on high-level design and application problems, rather than the details of coding.

Название: The Architect's Guide to NestJS: Architectural Trade-Offs and Implementation Patterns with NestJS
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1996
Язык: английский
Формат: epub (true)
Размер: 22.2 MB

"The Architect's Guide to NestJS" is a comprehensive resource for developers and architects looking to build scalable, maintainable distributed systems using the NestJS framework. The book explores Clean Architecture principles applied to NestJS, moving beyond basic MVC patterns to advanced concepts like domain-driven design, CQRS, and event sourcing. It provides practical guidance on structuring large-scale applications, managing distributed transactions, implementing effective data patterns, and organizing development teams. NestJS stands as a powerful, progressive framework for building efficient, scalable server-side applications. Designed with TypeScript at its core, it combines elements from object-oriented programming, functional programming, and functional reactive programming to provide a robust foundation for enterprise-level applications. What distinguishes NestJS from other Node.js frameworks is its opinionated architecture that emphasizes structure, maintainability, and testability.

Название: AI/ML for Healthcare: Navigating the AI/ML Maze Responsibly, Securely, and Sustainably
Автор: Kapila Monga
Издательство: CRC Press
Год: 2025
Страниц: 296
Язык: английский
Формат: epub (true)
Размер: 10.1 MB

The advent of Generative AI has democratized access to AI, prompting nearly everyone in healthcare organizations - from frontline workers to business leaders – to ask pressing questions: How can I be better equipped to support AI adoption meaningfully? How do I ensure I ask the right questions? What cautions should I exercise as I think about AI/Machine Learning (ML) in my business process? This book aims to answer these and other such questions and to empower healthcare professionals, at all levels, by providing them knowledge across various aspects of AI/ML, enabling them (at least in part) to realize positive, lasting business value from AI and ML initiatives. This book draws upon my experience of working in healthcare AI/ML, lessons I learned while observing leaders in this space trying to make a difference, and research (for evolving topics like sustainable AI development and securing AI/ML systems). This book provides readers with actionable insights to build responsible, secure, and sustainable AI/ML solutions in healthcare and delves into key principles for scaling AI/ML value delivery, including establishing Machine Learning Operations (MLOps) processes and launching citizen Data Science programs.

Название: Cracking the Golang Coding Interview: A Comprehensive Guide to Algorithmic Problem Solving
Автор: Aarav Joshi
Издательство: 101 Books
Год: 2025
Страниц: 1830
Язык: английский
Формат: epub (true)
Размер: 21.2 MB

"Cracking the Golang Coding Interview: A Comprehensive Guide to Algorithmic Problem Solving" is a specialized resource designed for developers preparing for technical interviews with Go programming language. The book fills a significant gap in the market, as while there are many general coding interview books like the original "Cracking the Coding Interview," there hasn't been a Go-specific version with the same depth and recognition. This comprehensive guide covers essential topics including Go fundamentals, data structures, concurrency patterns, and advanced algorithms tailored specifically for Go's unique features. The book provides detailed explanations of common interview patterns like sliding window technique, two-pointer approach, and backtracking strategies, all implemented in idiomatic Go code.

Название: Machine Learning with Python: Building Smart Systems for the Real World
Автор: PremKumar Kora, Rishi Kora
Издательство: Kora AI Tech
Год: 2025
Страниц: 1242
Язык: английский
Формат: epub
Размер: 22.6 MB

Turn data into decisions, and code into intelligent systems. Whether you’re a student, professional, or complete beginner, this book is your hands-on guide to mastering Python and building real-world Machine Learning applications from scratch—without getting lost in theory. Machine Learning with Python: Building Smart Systems for the Real World is more than a technical manual—it’s a learning journey. It starts with the very basics of Python and takes you all the way to building, evaluating, and deploying full-scale Machine Learning models using real datasets and real tools. We begin with Python—the most popular and accessible programming language for Data Science and AI. You’ll start from the very basics: understanding what Python is, why it matters, and how to set up your environment. Then, you’ll gradually dive deeper into core concepts, such as working with strings, lists, sets, dictionaries, and foundational data structures like stacks and trees. Every topic is presented in a structured, readable, and learner-friendly format. By the time you finish, you’ll not only have theoretical knowledge but also practical experience with tools like Jupyter, Anaconda, GitHub, Google Colab, Streamlit, Flask, and FastAPI.

Название: R Programming for Mass Spectrometry: Effective and Reproducible Data Analysis
Автор: Randall K. Julian
Издательство: Wiley
Год: 2025
Страниц: 336
Язык: английский
Формат: epub (true)
Размер: 11.8 MB

The main goal of this book is to show how to analyze mass spectrometry data effectively and reproducibly using the R programming language. Any mass spectrometrist can learn to go beyond spreadsheets and build data analysis solutions using R in a reasonable amount of time. My approach will be like climbing a ladder. Through the lens of mass spectrometry, I will start by introducing native features of the R language. On the next rung are the packages that simplify data storage and retrieval, data manipulation, statistics, and visualization. The next step uses modules originally created to help with molecular biology tasks that also work with data from mass spectrometers. Further up the ladder are mass spectrometry-specific modules used to perform data manipulation and analysis for data generated specifically by mass spectrometers. Beyond that, the ladder goes on, but this book will end on the Machine Learning rung, far from the top.