Название: Essential Math for AI: Exploring Linear Algebra, Probability and Statistics, Calculus, Optimization Techniques, and More
Автор: Andrew Hinton
Издательство: Book Bound Studios
Год: November 12, 2023
Страниц: 172
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Are you ready to unlock the mathematical secrets that power today's most advanced Artificial Intelligence systems? "Essential Math for AI" is an essential guide for anyone looking to understand the complex mathematical underpinnings of Artificial Intelligence (AI). Whether you're an AI enthusiast, a student, or a professional in the field, this book is tailored to enrich your knowledge and prepare you for the future of AI innovation. "Essential Math for AI" provides a comprehensive overview of the mathematical concepts propelling AI forward and offers a glimpse into the future of how these disciplines will continue to shape the AI landscape. With chapter summaries to consolidate your learning and a clear path charted for future exploration, this book is your roadmap to becoming well-versed in the mathematics of AI. Take the next step in your AI journey. Embrace the mathematical challenges and opportunities with "Essential Math for AI."

Название: Core Technologies of Artificial Intelligence
Автор: Lynn Walker
Издательство: Winmedia Press
Серия: Artificial Intelligence Fundamentals Book 2
Год: 2024
Страниц: 197
Язык: английский
Формат: pdf
Размер: 13.6 MB

Unlock the transformative potential of Artificial Intelligence with "Core Technologies of Artificial Intelligence." This comprehensive guide demystifies the intricate world of AI, offering readers an in-depth understanding of the fundamental technologies driving this revolutionary field. Perfect for students, professionals, and AI enthusiasts, this book provides a structured learning path from basic concepts to advanced methodologies. Explore essential topics such as Machine Learning, Deep Learning, natural language processing (NLP), AI in robotics, and the latest advancements like quantum computing and neuromorphic engineering. Each chapter is meticulously designed to build on the previous one, ensuring a cohesive and engaging learning experience. Key Features: Advanced Machine Learning Techniques: Master complex methods, including ensemble methods, feature engineering, and model optimization; Deep Learning Architectures: Gain expertise in deep learning models such as CNNs, RNNs, Transformers, Autoencoders, and GANs; Natural Language Processing: Understand advanced NLP methodologies, from sentiment analysis to speech recognition technologies.

Название: Artificial Intelligence for Science (AI4S): Frontiers and Perspectives Based on Parallel Intelligence
Автор: Qinghai Miao, Fei-Yue Wang
Издательство: Springer
Год: 2024
Страниц: 118
Язык: английский
Формат: pdf (true), epub
Размер: 19.5 MB

This book presents a comprehensive framework for analyzing, evaluating, and guiding Artificial Intelligence (AI) for Sciences (AI4Sci) research, offering a unified approach that facilitates analysis across various academic fields through a shared set of dimensions and indicators. It provides a systematic overview of recent AI4Sci advances in various disciplines and offers insights into the latest issues in and prospects of AI4Sci. The book is based on the theory of Parallel Intelligence (PI), which forms the foundation for the general AI4Sci framework. By analyzing multiple cases in various academic fields, this framework integrates key elements of AI4Sci, such as real scientific problems, datasets, virtual systems, AI methods, human roles, and organizational mechanisms, from a multidimensional perspective. It also assesses and summarizes the limitations of AI4Sci, incorporating the latest advances in AI for fundamental models. Lastly, it explores the impact of DeSci and DAO, as well as TAO, on AI4Sci ecosystem development and prospects. Through its balanced approach, the book offers readers a goal-oriented perspective, focusing on a concise presentation of the core ideas and reducing detailed descriptions of specific AI4Sci cases to a minimum. As Artificial Intelligence (AI) rapidly advances in recent years, its application in various scientific fields such as physics, chemistry, biology, astronomy, and others is also emerging. This technology, known as AI for Sciences (AI4S), is revolutionizing scientific research by providing new tools and techniques for analyzing data, discovering patterns, and making predictions, etc.

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.