Decoding Intelligence The Mathematical Foundations Of Modern Ai
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Decoding Intelligence The Mathematical Foundations Of Modern Ai
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Author : Fay Grant
language : en
Publisher: David Chapple
Release Date :
Decoding Intelligence The Mathematical Foundations Of Modern Ai written by Fay Grant and has been published by David Chapple this book supported file pdf, txt, epub, kindle and other format this book has been release on with Computers categories.
Unravel the mysteries of artificial intelligence and its mathematical underpinnings. This book provides a comprehensive exploration of the fundamental concepts and principles that drive modern AI. Discover how the power of mathematics fuels the intelligence of machines, from the building blocks of linear algebra and probability theory to the complexities of deep learning and neural networks. Explore the intricate relationships between mathematical concepts and AI algorithms, gaining a deeper understanding of how these algorithms learn, reason, and make decisions. Learn about the key concepts that underpin AI, including supervised and unsupervised learning, feature extraction, and model optimization. Dive into the fascinating world of deep learning, exploring its architecture, training methods, and its ability to extract complex patterns from vast amounts of data. This book offers a clear and engaging guide for anyone seeking to understand the mathematical foundations of AI. It provides a solid theoretical framework, enriched with real-world examples and practical applications. Whether you are a student, a programmer, or simply curious about the future of technology, this book equips you with the knowledge to navigate the exciting landscape of artificial intelligence.
Decoding Artificial Intelligence A Modern Approach
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Author : Diego Rodrigues
language : en
Publisher: StudioD21
Release Date : 2025-01-27
Decoding Artificial Intelligence A Modern Approach written by Diego Rodrigues and has been published by StudioD21 this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-27 with Business & Economics categories.
In this practical and engaging guide, Diego Rodrigues provides a clear and accessible version of the fundamental principles of one of the most influential books on artificial intelligence. Exploring the Fundamentals of Artificial Intelligence: A Modern Approach distills the core teachings of the timeless work by Stuart Russell and Peter Norvig, offering practical insights for you to apply AI concepts in your everyday work, whether in system development, data analysis, or creating new technological solutions. With a practical and structured approach, this book offers an in-depth view of key AI areas, from intelligent agents and problem-solving with search algorithms, to complex concepts like machine learning and AI ethics. Through accessible and instructional language, Rodrigues explores the central ideas in a way that allows you to understand and effectively apply them. From an introduction to the basic concepts of artificial intelligence to more advanced topics such as reasoning under uncertainty, natural language processing, and AI applications in games and robotics, this book provides a solid foundation for those seeking to understand and implement AI in real-world projects. Rodrigues also explores the relevance and impact of AI on society, discussing ethical and social issues, as well as current challenges, while also presenting practical tools and frameworks you can use to apply AI in the real world. This is the ideal guide for students, professionals, and technology enthusiasts who want to gain deep and practical knowledge of AI and its many possibilities. With this book, you will not only understand AI concepts but also be able to apply best practices in a concrete and transformative way to your projects and career. Don't miss the chance to explore Artificial Intelligence at its highest level and take the next step towards technological innovation. TAGS: Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Regression Logistic Regression Decision Trees Random Forests AI ML K-Means Clustering Support Vector Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF AWS Google Cloud IBM Azure Databricks Nvidia Meta Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest Visual Studio AR VR sql mysql TAGS: Python Java Linux Kali HTML ASP.NET Ada Assembly BASIC Borland Delphi C C# C++ CSS Cobol Compilers DHTML Fortran General JavaScript LISP PHP Pascal Perl Prolog RPG Ruby SQL Swift UML Elixir Haskell VBScript Visual Basic XHTML XML XSL Django Flask Ruby on Rails Angular React Vue.js Node.js Laravel Spring Hibernate .NET Core Express.js TensorFlow PyTorch Jupyter Notebook Keras Bootstrap Foundation jQuery SASS LESS Scala Groovy MATLAB R Objective-C Rust Go Kotlin TypeScript Dart SwiftUI Xamarin React Native NumPy Pandas SciPy Matplotlib Seaborn D3.js OpenCV NLTK PySpark BeautifulSoup Scikit-learn XGBoost CatBoost LightGBM FastAPI Redis RabbitMQ Kubernetes Docker Jenkins Terraform Ansible Vagrant GitHub GitLab CircleCI Regression Logistic Regression Decision Trees Random Forests AI ML K-Means Clustering Support Vector Machines Gradient Boosting Neural Networks LSTMs CNNs GANs ANDROID IOS MACOS WINDOWS Nmap Metasploit Framework Wireshark Aircrack-ng John the Ripper Burp Suite SQLmap Maltego Autopsy Volatility IDA Pro OllyDbg YARA Snort ClamAV Netcat Tcpdump Foremost Cuckoo Sandbox Fierce HTTrack Kismet Hydra Nikto OpenVAS Nessus ZAP Radare2 Binwalk GDB OWASP Amass Dnsenum Dirbuster Wpscan Responder Setoolkit Searchsploit Recon-ng BeEF AWS Google Cloud IBM Azure Databricks Nvidia Meta Power BI IoT CI/CD Hadoop Spark Dask SQLAlchemy Web Scraping MySQL Big Data Science OpenAI ChatGPT Handler RunOnUiThread() Qiskit Q# Cassandra Bigtable VIRUS MALWARE Information Pen Test Cybersecurity Linux Distributions Ethical Hacking Vulnerability Analysis System Exploration Wireless Attacks Web Application Security Malware Analysis Social Engineering Social Engineering Toolkit SET Computer Science IT Professionals Careers Expertise Library Training Operating Systems Security Testing Penetration Test Cycle Mobile Techniques Industry Global Trends Tools Framework Network Security Courses Tutorials Challenges Landscape Cloud Threats Compliance Research Technology Flutter Ionic Web Views Capacitor APIs REST GraphQL Firebase Redux Provider Bitrise Actions Material Design Cupertino Fastlane Appium Selenium Jest Visual Studio AR VR sql mysql
Ai Made Easy Understanding Artificial Intelligence For Teens
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Author : DIZZY DAVIDSON
language : en
Publisher: Pure Water Books
Release Date : 2025-04-12
Ai Made Easy Understanding Artificial Intelligence For Teens written by DIZZY DAVIDSON and has been published by Pure Water Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-04-12 with Family & Relationships categories.
If you've ever wondered how artificial intelligence works in your favorite apps, games, and everyday life, or if you're looking for an engaging and practical guide to unlock its potential—then this book is for you. Discover the exciting world of artificial intelligence through "AI Made Easy: Understanding Artificial Intelligence for Teens." This is not just a book; it's your roadmap to mastering AI concepts, applying them in your daily life, and preparing for the tech-driven future. Packed with: · Step-by-step guides to make learning simple and approachable. · Tips and tricks for using AI-powered tools effectively and responsibly. · Real-life stories that show how teens like you are harnessing AI for creative and meaningful projects. · Illustrations and examples to spark curiosity and make concepts stick. This book will empower you to: · Decode how AI shapes social media, gaming, and education. · Unlock creativity with AI tools for art, music, and writing. · Gain valuable insights into ethical AI use and potential career paths. · Learn hands-on DIY AI projects to start building your knowledge and skills today! With clear explanations and relatable content, "AI Made Easy" is crafted for curious minds with a Grade 12 education level and ensures you feel confident exploring AI technology. Whether you're tech-savvy or just starting out, this book has something for everyone! Take your first step toward understanding the future—GET YOUR COPY TODAY!
Ancient Algorithms The Mathematics That Built Empires
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Author : Ahmed Musa
language : en
Publisher: Recorded Books
Release Date : 2025-01-06
Ancient Algorithms The Mathematics That Built Empires written by Ahmed Musa and has been published by Recorded Books this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Mathematics categories.
Discover how ancient civilizations harnessed the power of mathematics to construct wonders, solve problems, and govern empires. Ancient Algorithms takes you on a journey through time, exploring the mathematical foundations of iconic achievements like the Pyramids, the Great Wall of China, and Roman aqueducts. This book highlights the ingenuity of early mathematicians and their enduring impact on modern technology and engineering. Whether you’re a math enthusiast or a history lover, Ancient Algorithms will inspire awe for the timeless genius that shaped our world.
Engineering Mathematics And Artificial Intelligence
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Author : Herb Kunze
language : en
Publisher: CRC Press
Release Date : 2023-07-26
Engineering Mathematics And Artificial Intelligence written by Herb Kunze and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-07-26 with Computers categories.
The fields of Artificial Intelligence (AI) and Machine Learning (ML) have grown dramatically in recent years, with an increasingly impressive spectrum of successful applications. This book represents a key reference for anybody interested in the intersection between mathematics and AI/ML and provides an overview of the current research streams. Engineering Mathematics and Artificial Intelligence: Foundations, Methods, and Applications discusses the theory behind ML and shows how mathematics can be used in AI. The book illustrates how to improve existing algorithms by using advanced mathematics and offers cutting-edge AI technologies. The book goes on to discuss how ML can support mathematical modeling and how to simulate data by using artificial neural networks. Future integration between ML and complex mathematical techniques is also highlighted within the book. This book is written for researchers, practitioners, engineers, and AI consultants.
Decoding Luigi Moretti S Architettura Parametrica
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Author : Giuseppe Canestrino
language : en
Publisher: Taylor & Francis
Release Date : 2025-05-16
Decoding Luigi Moretti S Architettura Parametrica written by Giuseppe Canestrino and has been published by Taylor & Francis this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-05-16 with Architecture categories.
Decoding Luigi Moretti’s Architettura Parametrica presents an unprecedented critical discussion of one of the earliest theoretical and practical explorations into the integration of scientific thought, mathematical models, and digital tools in architectural design. Moretti, a renowned professional who engaged in countless intellectual initiatives, developed and refined his architectural vision long before “parametric” became synonymous with computational design. His Architettura Parametrica is an unconventional inquiry of the prospects offered to design practice by digital thinking rather than by digital tools, which were still immature or completely absent at the time. Moretti proposed a unique and still relevant mental landscape that united his fascination with Baroque spatiality, operational research, informal art, optics, cybernetics, ethics, and much more. This research decodes numerous facets of Architettura Parametrica, from the rigid theoretical precepts to the negotiation with design praxis, from the use of equations to aid the research of forms to the speculation on the meaning of architecture through abstract mathematics. This book offers novel perspectives to scholars interested in the interplay between architectural design practice and theory, mathematics and design methods, digital and architectural culture, and to the growing number of practitioners who are crafting personal narratives within the most disruptive computational techniques.
Intelligent Signatures
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Author : Barrett Williams
language : en
Publisher: Barrett Williams
Release Date : 2024-12-30
Intelligent Signatures written by Barrett Williams and has been published by Barrett Williams this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-30 with Science categories.
**Discover the Unseen Engage with the Universe's Hidden Languages through AI** Embark on an exhilarating journey with *Intelligent Signatures*, a groundbreaking exploration of how artificial intelligence is revolutionizing our quest to uncover extraterrestrial secrets. This riveting eBook delves deep into the intersection of cutting-edge AI technology and our search for intelligent life beyond Earth. Join us as we explore the core concepts of artificial intelligence and its pivotal role in modern astronomy, illuminating the universe's enigmatic signatures through the lens of sophisticated technology. From decoding potential alien languages to the archaeological pursuits of unknown artifacts, this book bridges the gap between Earthly technology and the mysteries of our cosmic neighbors. Unearth the secrets of AI's cognitive capabilities and dive into the realm of quantum computing as it ventures into the depths of theoretical physics. Witness how AI interprets complex data, reduces noise, and detects anomalies, radically transforming our understanding of the universe. As you turn each page, uncover the profound implications of AI-assisted discoveries, such as gravitational wave analysis and multiverse theories that challenge our current paradigms. *Intelligent Signatures* also navigates the fascinating ethics of AI in technological discovery, probing the societal impacts and the future of humanity’s integration with AI. Venture into scenario planning, international collaboration, and diplomatic frameworks, preparing society for the unimaginable—first contact. This compelling narrative encourages the next generation to dream big, bridging educational gaps, and fostering a culture of interdisciplinary study. Cultivate curiosity and wonder while celebrating human ingenuity and resilience in the face of the unknown. Prepare to be inspired, challenged, and transformed as you explore the limitless potential of AI in cosmic exploration. The universe is calling—our understanding of intelligent life is about to change forever. Embrace the journey and the endless possibilities that lie ahead with *Intelligent Signatures*.
Kickstart Artificial Intelligence Fundamentals Master Machine Learning Neural Networks And Deep Learning From Basics To Build Modern Ai Solutions With Python And Tensorflow Keras
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Author : Dr. S.Mahesh
language : en
Publisher: Orange Education Pvt Limited
Release Date : 2025-03-29
Kickstart Artificial Intelligence Fundamentals Master Machine Learning Neural Networks And Deep Learning From Basics To Build Modern Ai Solutions With Python And Tensorflow Keras written by Dr. S.Mahesh and has been published by Orange Education Pvt Limited this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-29 with Computers categories.
Master AI Fundamentals and Build Real-World Machine Learning and Deep Learning Solutions. Key Features● Hands-on AI guide with Python, TensorFlow, and Keras implementations.● Step-by-step walkthroughs of Machine Learning, Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN), Recurrent Neural Networks (RNN), and Long Short-Term Memory (LSTM) models.● Bridges AI theory with real-world applications and coding exercises. Book DescriptionAI is transforming industries, driving innovation, and shaping the future of technology. A strong foundation in AI fundamentals is essential for anyone looking to stay ahead in this rapidly evolving field. Kickstart Artificial Intelligence Fundamentals is a comprehensive companion designed to demystify core AI concepts, covering Machine Learning, Deep Learning, and Neural Networks. Tailored for all AI enthusiasts, this book provides hands-on Python implementation using the TensorFlow-Keras framework, ensuring a seamless learning experience from theory to practice. Bridging the gap between concepts and real-world applications, this book offers intuitive explanations, mathematical foundations, and practical use cases. Readers will explore supervised and unsupervised Machine Learning models, master Convolutional Neural Networks for image classification, and leverage Long Short-Term Memory networks for time-series forecasting. Each chapter includes coding examples and guided exercises, making it an invaluable resource for both beginners and advanced learners. Beyond technical expertise, this book explores emerging trends like Generative AI and ethical considerations in AI, preparing readers for the challenges and opportunities in the field. This book will provide you the essential knowledge and hands-on experience to stay competitive. Don’t get left behind—embrace AI and future-proof your career today! What you will learn● Build and train machine learning models for real-world datasets.● Apply neural networks to classification and regression tasks.● Implement CNNs and LSTMs for vision and sequence modeling.● Solve AI problems using Python, TensorFlow, and Keras.● Fine-tune pre-trained models for domain-specific applications.● Explore generative AI for creative and industrial use cases.
Robots And Gadgets
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Author : Collectif Collectif
language : en
Publisher: Presses de l'Université Laval
Release Date : 2024-07-24T00:00:00-04:00
Robots And Gadgets written by Collectif Collectif and has been published by Presses de l'Université Laval this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-24T00:00:00-04:00 with Medical categories.
Why did we need to reflect on and write about smart-home technologies for the older person? What is a smart-home techology? In the face of smart-home promises to help the elderly person, and before these technologies are more widely used, we need to examine the ethical issues.
Foundations Of Artificial Intelligence And Robotics
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Author : Wendell H. Chun
language : en
Publisher: CRC Press
Release Date : 2024-12-24
Foundations Of Artificial Intelligence And Robotics written by Wendell H. Chun and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-12-24 with Computers categories.
Artificial intelligence (AI) is a complicated science that combines philosophy, cognitive psychology, neuroscience, mathematics and logic (logicism), economics, computer science, computability, and software. Meanwhile, robotics is an engineering field that compliments AI. There can be situations where AI can function without a robot (e.g., Turing Test) and robotics without AI (e.g., teleoperation), but in many cases, each technology requires each other to exhibit a complete system: having "smart" robots and AI being able to control its interactions (i.e., effectors) with its environment. This book provides a complete history of computing, AI, and robotics from its early development to state‐of‐the‐art technology, providing a roadmap of these complicated and constantly evolving subjects. Divided into two volumes covering the progress of symbolic logic and the explosion in learning/deep learning in natural language and perception, this first volume investigates the coming together of AI (the mind) and robotics (the body), and discusses the state of AI today. Key Features: Provides a complete overview of the topic of AI, starting with philosophy, psychology, neuroscience, and logicism, and extending to the action of the robots and AI needed for a futuristic society Provides a holistic view of AI, and touches on all the misconceptions and tangents to the technologies through taking a systematic approach Provides a glossary of terms, list of notable people, and extensive references Provides the interconnections and history of the progress of technology for over 100 years as both the hardware (Moore’s Law, GPUs) and software, i.e., generative AI, have advanced Intended as a complete reference, this book is useful to undergraduate and postgraduate students of computing, as well as the general reader. It can also be used as a textbook by course convenors. If you only had one book on AI and robotics, this set would be the first reference to acquire and learn about the theory and practice.