Название: Mastering Game Development with Python: Practical AI for Game Developers: Design Intelligent Games with Python! No Programming Experience Necessary. Build Smart Game Characters
Автор: Andrew M. Jones
Издательство: Independently published
Год: 2024
Страниц: 166
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

Unleash the Power of AI in Your Games: A Python Guide. Imagine crafting games where enemies anticipate your every move, characters exhibit lifelike behaviors, and the world itself feels alive. With "AI for Game Development with Python," you hold the key to transforming your game concepts into immersive realities fueled by the magic of Artificial Intelligence. This comprehensive guide is your roadmap to mastering AI game development using Python, the versatile and beginner-friendly programming language. Whether you're a seasoned game developer seeking to elevate your creations or a curious programmer with a passion for games, this book equips you with the knowledge and tools to bring your AI-fueled game concepts to life. The intersection of Artificial Intelligence (AI) and game development has ignited a revolution, birthing interactive worlds of unprecedented depth and complexity. At the heart of this transformation lies Python, a language celebrated for its readability, versatility, and a rich ecosystem of libraries tailored for AI and game development. This guide serves as your roadmap to mastering the art and science of infusing intelligence into your games. Whether you're a seasoned game developer seeking to elevate your projects or a curious programmer eager to explore this exciting frontier, you'll find invaluable insights and practical guidance within these pages. Python's role as a catalyst for AI-driven game development is explored in detail, highlighting essential libraries like NumPy, SciPy, Scikit-learn, TensorFlow, Keras, and Pygame. You'll learn how to harness these tools to create lifelike characters, dynamic environments, and engaging gameplay experiences.

Название: Kickstart Blockchain and Cryptography Fundamentals: Navigate the Intricacies of Modern Blockchain, Cryptography, Smart Contracts and Hyperledger for Driving Real-World Transformations
Автор: Veerendra Kumar Jain
Издательство: Orange Education Pvt Ltd AVA
Год: 2024
Страниц: 362
Язык: английский
Формат: epub (true)
Размер: 42.5 MB

Master Blockchain, Cryptography, and Smart Contracts. Unlock the true potential of blockchain technology with this essential guide, crafted for students and professionals looking to stay ahead in the fast-evolving digital landscape. Beginning with the foundations of Blockchain, the book moves on to explain the basics of decentralized, distributed ledgers that secure digital assets. You will then explore the role of Cryptographic Hash Functions (CHF) in safeguarding blockchain transactions through fixed-length hash values. Next, you will discover applications of Blockchain in Cryptocurrency and how digital assets like Bitcoin operate without central authorities. The book also covers Distributed Consensus in Open and Closed Environments, showing how blockchain ensures uniform agreement among nodes without a central server. You will then explore how blockchain is transforming industries by enabling secure, peer-to-peer transactions. The book introduces Hyperledger and Smart Contracts, highlighting how these tools automate and secure agreements without intermediaries. Finally, you will learn about facilitating communication between different blockchain networks through Blockchain Interoperability, and Legal and Environmental Aspects, examining the legal and environmental challenges blockchain faces. This book is not just a resource — it's your roadmap to mastering blockchain technology and revolutionizing your business. This book is tailored for undergraduates in Computer Science, IT, and MCA programs, as well as professionals and individuals in related fields. It assumes a foundational understanding of blockchain technology and cryptography, making it ideal for those seeking to deepen their knowledge in these areas.

Название: CompTIA Tech+ CertMike: Prepare. Practice. Pass the Test! Get Certified!: Exam FC0-U71, 2nd Edition
Автор: Mike Chapple
Издательство: Sybex
Год: 2025
Страниц: 384
Язык: английский
Формат: epub (true)
Размер: 57.6 MB

Prepare for, practice, and pass the CompTIA Tech+ certification exam on your first try. In the newly updated second edition of CompTIA Tech+ CertMike: Prepare. Practice. Pass the Test! Get Certified! for exam FC0-U71, veteran IT expert and IT educator, Mike Chapple, skips the fluff and dives straight into exactly what you need to ace the entry-level CompTIA Tech+ certification exam on your first try. Filled with the kind of no-nonsense, straight-to-business info you're looking for, the book includes coverage of every relevant exam domain, a full practice exam, and additional multiple choice practice questions with detailed answer explanations. You'll learn all about IT infrastructure, software development, database use, software installation, network connectivity, and more, as well as how all this valuable knowledge applies to common on-the-job scenarios. Prepare smarter and faster for the Tech+ certification exam with proven strategies created by the bestselling Mike Chapple and his team at CertMike. This book's perfect for people just getting interested in information technology and working towards a more advanced certification, like the CompTIA A+ or Security+ credentials. It's also a can't-miss resource for anyone who wants to learn basic computer literacy skills.

Название: Regression and Machine Learning for Education Sciences Using R
Автор: Cody Dingsen
Издательство: Routledge
Год: 2025
Страниц: 377
Язык: английский
Формат: pdf (true), epub
Размер: 54.0 MB

This book provides a conceptual introduction to regression analysis and Machine Learning and their applications in education research. It discusses their diverse applications, including its role in predicting future events based on the current data or explaining why some phenomena occur. These identified important predictors provide data-based evidence for educational and psychological decision-making. Offering an applications-oriented approach while mapping out fundamental methodological developments, this book lays a sound foundation for understanding essential regression and Machine Learning concepts for data analytics. The first part of the book discusses regression analysis and provides a sturdy foundation to understand the logic of Machine Learning. With each chapter, the discussion and development of each statistical concept and data analytical technique is presented from an applied perspective, with the statistical results providing insights into decisions and solutions to problems using R. Based on practical examples, and written in a concise and accessible style, the book is learner-centric and does a remarkable job in breaking down complex concepts. Specifically, we discuss the concepts and relationships related to Big Data, Data Science, data analytics, data mining, and Machine Learning.

Название: Effective C, 2nd Edition: An Introduction to Professional C Programming
Автор: Robert C. Seacord
Издательство: No Starch Press
Год: 2025
Страниц: 304
Язык: английский
Формат: True EPUB,MOBI
Размер: 10.1 MB

Effective C, 2nd edition, is an introduction to essential C language programming that will soon have you writing programs, solving problems, and building working systems. The latest release of the C programming language, C23, enhances the safety, security, and usability of the language. This second edition of Effective C has been thoroughly updated to cover C23, offering a modern introduction to C that will teach you best practices for writing professional, effective, and secure programs that solve real-world problems. C is used as a target language for compilers to build operating systems, to teach fundamentals of computing, and for embedded and general-purpose programming. There is a large amount of legacy code written in C. The C standards committee is extremely careful not to break existing code, providing a smooth pass for modernizing this code to take advantage of modern language features. C is often used in embedded systems because it is a small and efficient language. Embedded systems are small computers that are embedded in other devices, such as cars, appliances, and medical devices. Your favorite programming language and library are written in C (or were at one time). There are many libraries available for C. This makes it easy to find libraries that can be used to perform common tasks. Overall, C is a powerful and versatile language that is still widely used today. It is a good choice for programmers who need a fast, efficient, and portable language.

Название: Rust. Атомарности и блокировки
Автор(ы): Мара Бос
Издательство: АЛИСТ
Год: 2024
Страниц: 242
Формат: PDF
Размер: 25 Мб
Язык: русский

Книга позволяет программистам получить четкое представление о низкоуровневой конкурентности и ее реализации. Даны основы конкурентности в Rust. Раскрыты понятия об атомарности и упорядочении памяти. Рассмотрены практические аспекты создания своих собственных каналов, своего собственного типа Arc и своих собственных блокировок. Дано представление о внуrренней "кухне" процессора. Рассказано о примитивах операционной системы. Предложены идеи для самостоятельной разработки решений, связанных с вычислениями в конкурентном режиме

Название: Energy Efficiency and Robustness of Advanced Machine Learning Architectures: A Cross-Layer Approach
Автор: Alberto Marchisio, Muhammad Shafique
Издательство: CRC Press
Серия: Chapman & Hall/CRC Artificial Intelligence and Robotics Series
Год: 2025
Страниц: 361
Язык: английский
Формат: pdf (true), epub
Размер: 51.9 MB

Machine Learning (ML) algorithms have shown a high level of accuracy, and applications are widely used in many systems and platforms. However, developing efficient ML-based systems requires addressing three problems: energy-efficiency, robustness, and techniques that typically focus on optimizing for a single objective/have a limited set of goals. This book tackles these challenges by exploiting the unique features of advanced ML models and investigates cross-layer concepts and techniques to engage both hardware and software-level methods to build robust and energy-efficient architectures for these advanced ML networks. More specifically, this book improves the energy efficiency of complex models like CapsNets, through a specialized flow of hardware-level designs and software-level optimizations exploiting the application-driven knowledge of these systems and the error tolerance through approximations and quantization. This book also improves the robustness of ML models, in particular for SNNs executed on neuromorphic hardware, due to their inherent cost-effective features. This book integrates multiple optimization objectives into specialized frameworks for jointly optimizing the robustness and energy efficiency of these systems. This is an important resource for students and researchers of computer and electrical engineering who are interested in developing energy efficient and robust ML.

Название: Artificial Intelligence of Things (AIoT): Current and Future Trends
Автор: Fadi Al-Turjman, Fahriye Altinay, Zehra Altinay Gazi
Издательство: Morgan Kaufmann/Elsevier
Год: 2025
Страниц: 350
Язык: английский
Формат: epub
Размер: 12.0 MB

Artificial Intelligence of Things (AIoT): Current and Future Trends brings together researchers and developers from a wide range of domains to share ideas on how to implement technical advances, create application areas for intelligent systems, and how to develop new services and smart devices connected to the Internet. Section One covers AIoT in Everything, providing a wide range of applications for AIoT methods and technologies. Section Two gives readers comprehensive guidance on AIoT in Societal Research and Development, with practical case studies of how AIoT is impacting cultures around the world. Section Three covers the impact of AIoT in educational settings. The book also covers new capabilities such as pervasive sensing, multimedia sensing, Machine Learning, Deep Learning, and computing power. These new areas come with various requirements in terms of reliability, quality of service, and energy efficiency. A Deep Learning technique called a convolutional neural network (CNN) is used to identify objects in images and examine their visual content. CNN uses a pooling layer to make the pixels smaller and to help find and keep the pixel patch. However, numerous real-world applications of the CNN algorithm exist, such as for both cancer screening and biometric identification. CNN may provide answers to visual queries as well as caption photos. CNN networks examine the images provided as input and generate natural-language answers to the visuals. CNNs have become the most efficient tool for computer vision tasks due to their superior efficiency for both video and image data. For Computer Science researchers, Artificial Intelligence researchers, and researchers and practitioners working in the fields of Data Science, Machine Learning, and optimization. The primary audience also includes data analysts and software engineers working with the Internet of Things (IoT).

Название: AI Horizons: Shaping a Better Future Through Responsible Innovation and Human Collaboration
Автор: Enamul Haque
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 245
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

As we stand on the brink of a new era, this book offers a comprehensive exploration of AI's ethical, social, and technological implications. It explores privacy, fairness, accountability, and the digital divide. The book features real-world case studies across diverse industries to illustrate AI's transformative power and its potential to revolutionize healthcare, education, transportation, and more. Special attention is given to the adoption of AI in emerging markets and emphasizes the importance of human-AI collaboration, where AI augments human intelligence and creativity rather than replacing it. It examines the need for human-centric design while also exploring AI governance and the role of multi-stakeholder collaboration in shaping the future of this technology. By fostering a comprehensive understanding of AI and its myriad implications, the book inspires thoughtful dialogue and responsible action to ensure a brighter, more equitable future for all. Machine Learning (ML) represents a specialized branch within the broader field of artificial intelligence, focusing primarily on crafting computer programs capable of learning and evolving through experience. At its heart, ML revolves around developing algorithms designed to sift through and analyze extensive datasets, discerning patterns within. This process empowers these systems to make informed predictions or decisions based on their analyses. Crucially, ML algorithms are broadly classified into three categories: supervised learning, unsupervised learning, and reinforcement learning. Each type represents a unique method for training these algorithms, each with its distinct set of uses and inherent limitations.

Название: Python - полный курс (часть 2)
Автор: Алексей Ковальчук
Издательство: Stepik
Год: 2024
Формат: PDF
Страниц: много
Размер: 186 Mb
Язык: Русский

Этот курс предназначен для обучающихся любых возрастов продолжающего уровня. Курс подойдет для подготовки к ЕГЭ и ОГЭ, а также к любым другим экзаменам, где предполагается использование языка программирования Python. Курс будет актуален в том числе тем, кто готовится к алгоритмическим собеседованиям.