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
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: 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: Android Studio Koala Essentials - Kotlin Edition: Developing Android Apps Using Android Studio Koala Feature Drop and Kotlin
Автор: Neil Smyth
Издательство: Payload Media
Год: 2024
Страниц: 845
Язык: английский
Формат: epub
Размер: 45.0 MB

Unlock the Full Potential of Android Development. Are you ready to create powerful, modern Android apps using Kotlin? This comprehensive guide, fully updated for the Android Studio Koala Feature Drop (2024.1.2), is your ultimate companion to mastering Android app development from start to finish. Get Started with Confidence: From setting up your Android development and testing environment to mastering the fundamentals of Kotlin, including data types, control flow, functions, lambdas, and object-oriented programming, we’ll guide you every step of the way. Dive Deep into Advanced Techniques: Learn asynchronous programming with Kotlin coroutines and flow, and gain expertise in Android Architecture Components such as view models, lifecycle management, Room database access, app navigation, live data, and more. Master Essential Android Features: Develop skills in handling touch screens, gesture recognition, audio playback, and recording, and explore advanced functionalities like intents, printing, transitions, and foldable device support. Why This Book? Whether you’re a seasoned developer ready to elevate your Android skills or an experienced programmer eager to explore new horizons, this book offers everything you need to succeed. Packed with practical examples and expert insights, it’s designed to transform your app ideas into reality.

Название: Better APIs : Quality, Stability, Observability
Автор: Mikael Vesavuori
Издательство: Leanpub
Год: 2024-08-24
Страниц: 100
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Master the art of building high-quality, stable, and observable APIs with this hands-on guide—perfect for developers and architects looking to elevate their API game and ensure their projects are reliable, maintainable, and scalable. This book is a practical guide to improving the quality, stability, and observability of your APIs. Through a combination of theoretical insights and a hands-on example project, you'll learn how to create and maintain production-grade APIs that meet high standards of excellence. Better APIs: Quality, Stability, Observability is designed for developers and architects who want to deepen their understanding of API development and ensure their APIs are reliable, maintainable, and easy to monitor. APIs are the backbone of modern software architecture, and ensuring they are of high quality, stable, and observable is critical to the success of any software project. This book provides you with the tools and knowledge to create APIs that meet these criteria, helping you avoid common pitfalls and ensuring your APIs can scale and evolve over time. Whether you're looking to refine your existing APIs or build new ones from scratch, Better APIs: Quality, Stability, Observability will provide you with the insights and techniques you need to succeed and create APIs that are not only functional but also robust, maintainable, and easy to monitor.

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.