Decoding Artificial Intelligence A Modern Approach
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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
Artificial Intelligence For Human Computer Interaction A Modern Approach
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Author : Yang Li
language : en
Publisher: Springer Nature
Release Date : 2021-11-04
Artificial Intelligence For Human Computer Interaction A Modern Approach written by Yang Li and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-11-04 with Computers categories.
This edited book explores the many interesting questions that lie at the intersection between AI and HCI. It covers a comprehensive set of perspectives, methods and projects that present the challenges and opportunities that modern AI methods bring to HCI researchers and practitioners. The chapters take a clear departure from traditional HCI methods and leverage data-driven and deep learning methods to tackle HCI problems that were previously challenging or impossible to address. It starts with addressing classic HCI topics, including human behaviour modeling and input, and then dedicates a section to data and tools, two technical pillars of modern AI methods. These chapters exemplify how state-of-the-art deep learning methods infuse new directions and allow researchers to tackle long standing and newly emerging HCI problems alike. Artificial Intelligence for Human Computer Interaction: A Modern Approach concludes with a section on Specific Domains which covers a set of emerging HCI areas where modern AI methods start to show real impact, such as personalized medical, design, and UI automation.
Ai And Digital Technology For Oil And Gas Fields
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Author : Niladri Kumar Mitra
language : en
Publisher: CRC Press
Release Date : 2024-10-18
Ai And Digital Technology For Oil And Gas Fields written by Niladri Kumar Mitra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-18 with Computers categories.
The book essentially covers the growing role of AI in the oil and gas industry, including digital technologies used in the exploration phase, customer sales service, and cloud-based digital storage of reservoir simulation data for modeling. It starts with the description of AI systems and their roles within the oil and gas industry, including the agent-based system, the impact of industrial IoT on business models, and the ethics of robotics in AI implementation. It discusses incorporating AI into operations, leading to the reduction of operating costs by localizing control functions, remote monitoring, and supervision. Features of this book are given as follows: It is an exclusive title on the application of AI and digital technology in the oil and gas industry It explains cloud data management in reservoir simulation It discusses intelligent oil and gas well completion in detail It covers marketing aspects of oil and gas business during the exploration phase It reviews development of digital systems for business purposes This book is aimed at professionals in petroleum and chemical engineering, technology, and engineering management.
Intelligence Leadership And Governance
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Author : Patrick F. Walsh
language : en
Publisher: Routledge
Release Date : 2020-11-22
Intelligence Leadership And Governance written by Patrick F. Walsh and has been published by Routledge this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-22 with Political Science categories.
This book explores the challenges leaders in intelligence communities face in an increasingly complex security environment and how to develop future leaders to deal with these issues. As the security and policy-making environment becomes increasingly complicated for decision-makers, the focus on intelligence agencies ‘to deliver’ more value will increase. This book is the first extensive exploration of contemporary leadership in the context of intelligence agencies, principally in the ‘Five Eyes’ nations (i.e. Australia, United States, United Kingdom, Canada, and New Zealand). It provides a grounded theoretical approach to building practitioner and researcher understanding of what individual and organisational factors result in better leadership. Using interviews from former senior intelligence leaders and a survey of 208 current and former intelligence leaders, the work explores the key challenges that leaders will likely face in the twenty-first century and how to address these. It also explores what principles are most likely to be important in developing future leaders of intelligence agencies in the future. This book will be of much interest to students of intelligence studies, strategic studies, leadership studies, security studies, and international relations.
Artificial Intelligence In Biomedical And Modern Healthcare Informatics
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Author : M. A. Ansari
language : en
Publisher: Elsevier
Release Date : 2024-10-03
Artificial Intelligence In Biomedical And Modern Healthcare Informatics written by M. A. Ansari and has been published by Elsevier this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-10-03 with Science categories.
Artificial Intelligence in Biomedical and Modern Healthcare Informatics provides a deeper understanding of the current trends in AI and machine learning within healthcare diagnosis, its practical approach in healthcare, and gives insight into different wearable sensors and its device module to help doctors and their patients in enhanced healthcare system.The primary goal of this book is to detect difficulties and their solutions to medical practitioners for the early detection and prediction of any disease.The 56 chapters in the volume provide beginners and experts in the medical science field with general pictures and detailed descriptions of imaging and signal processing principles and clinical applications.With forefront applications and up-to-date analytical methods, this book captures the interests of colleagues in the medical imaging research field and is a valuable resource for healthcare professionals who wish to understand the principles and applications of signal and image processing and its related technologies in healthcare. - Discusses fundamental and advanced approaches as well as optimization techniques used in AI for healthcare systems - Includes chapters on various established imaging methods as well as emerging methods for skin cancer, brain tumor, epileptic seizures, and kidney diseases - Adopts a bottom-up approach and proposes recent trends in simple manner with the help of real-world examples - Synthesizes the existing international evidence and expert opinions on implementing decommissioning in healthcare - Promotes research in the field of health and hospital management in order to improve the efficiency of healthcare delivery systems
Harnessing Machine Learning To Decode Plant Microbiome Dynamics For Sustainable Agriculture
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Author : Eman Mohammad Khalaf
language : en
Publisher: Frontiers Media SA
Release Date : 2025-06-17
Harnessing Machine Learning To Decode Plant Microbiome Dynamics For Sustainable Agriculture written by Eman Mohammad Khalaf and has been published by Frontiers Media SA this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-17 with Science categories.
The field of plant-associated microbiomes has garnered significant attention due to its potential to address global food insecurity, particularly in low and middle-income countries. As the global population continues to grow, improving crop yield and productivity through advanced breeding programs has become imperative. Plants and their associated microbial communities have co-evolved over millennia, forming intricate relationships that significantly impact plant health and fitness. Recent studies have highlighted the benefits of these microbial communities, such as enhanced growth, improved nutrient uptake, and increased tolerance to environmental stresses. Despite these advancements, traditional methods of analyzing multi-omics data—such as meta-genomics, meta-transcriptomics, and meta-proteomics—are often inadequate. These methods struggle with false positives and fail to capture the interaction effects between variables, leaving gaps in our understanding of how microbiomes influence plant phenotypes. The advent of machine-learning (ML) algorithms has revolutionized this field, offering new ways to analyze complex microbiome data and predict their impact on plant traits.
Decoding Clausewitz
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Author : Jon Tetsuro Sumida
language : en
Publisher: University Press of Kansas
Release Date : 2008-09-05
Decoding Clausewitz written by Jon Tetsuro Sumida and has been published by University Press of Kansas this book supported file pdf, txt, epub, kindle and other format this book has been release on 2008-09-05 with History categories.
For nearly two centuries, On War, by Carl Phillip Gottfried von Clausewitz (1780-1831), has been the bible for statesmen and military professionals, strategists, theorists, and historians concerned about armed conflict. The source of the famous aphorism that "war is an extension of politics by other means," it has been widely read and debated. But, as Jon Sumida shows in this daring new look at Clausewitz's magnum opus, its full meaning has eluded most readers-until now. Approaching Clausewitz's classic as if it were an encoded text, Sumida deciphers this cryptic masterwork and offers a more productive way of looking at the sources and evolution of its author's thought. Sumida argues that On War should be viewed as far more complete and coherent than has been supposed. Moreover, he challenges the notion that On War is an attempt to explain the nature of armed conflict through the formulation of abstract theories. Clausewitz's primary concern, Sumida contends, was practical instruction of the military and political leadership of his country. To achieve this end, Clausewitz invented a method of reenacting the psychological difficulties of high command in order to promote the powers of intuition that he believed were essential to effective strategic decision-making. In addition, Sumida argues that Clausewitz's primary strategic proposition is that the defense is a stronger form of war than the offense. This concept, Sumida maintains, must be understood in order to make sense of Clausewitz's positions on absolute and real war, guerrilla warfare, and the relationship of war and policy/politics. Sumida's pathbreaking critique is supported by examination of the Prussian officer's experience during the Napoleonic Wars, previous major theoretical and historical scholarship on Clausewitz and his writing, and modern philosophical and scientific works that have much in common with Clausewitz's creative guide to the consideration of strategic practice. A major study of intellectual and military history, Sumida's book provides a provocative and above all readily comprehensible treatment of a previously inaccessible classic. It will surely become essential reading for all military professionals and serious students of military thought.
Decoding Consumer Behavior Using The Insight Equation And Ai Marketing
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Author : J Nair, Arjun
language : en
Publisher: IGI Global
Release Date : 2025-03-26
Decoding Consumer Behavior Using The Insight Equation And Ai Marketing written by J Nair, Arjun and has been published by IGI Global this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-26 with Business & Economics categories.
In an era characterized by data abundance and technological advancements, marketing is undergoing a profound transformation. The integration of AI into marketing strategies and the development of the AI marketing matrix have become crucial tools for understanding and decoding consumer behavior. Insights from marketing, technology, psychology and ethics offer a holistic perspective on the integration of AI in marketing, enabling the implementation of AI-driven strategies for enhanced consumer engagement and data-informed decision-making. Decoding Consumer Behavior Using the Insight Equation and AI Marketing explores the historical context, technology, applications and ethical considerations of AI in marketing. It covers the historical evolution of marketing and consumer behavior, dives into the mechanics of AI and data analytics, explores the psychology behind consumer choices and investigates the practical implementation of AI technologies in marketing strategies. Covering topics such as brand storytelling, music recommendation systems, and green energy, this book is an excellent resource for marketing professionals, digital marketers, data analysts, data scientists, business owners, ethics and privacy professionals, technology enthusiasts, scholars, academicians, and more.
Explainable Artificial Intelligence
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Author : Luca Longo
language : en
Publisher: Springer Nature
Release Date : 2024-07-09
Explainable Artificial Intelligence written by Luca Longo and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-07-09 with Computers categories.
This four-volume set constitutes the refereed proceedings of the Second World Conference on Explainable Artificial Intelligence, xAI 2024, held in Valletta, Malta, during July 17-19, 2024. The 95 full papers presented were carefully reviewed and selected from 204 submissions. The conference papers are organized in topical sections on: Part I - intrinsically interpretable XAI and concept-based global explainability; generative explainable AI and verifiability; notion, metrics, evaluation and benchmarking for XAI. Part II - XAI for graphs and computer vision; logic, reasoning, and rule-based explainable AI; model-agnostic and statistical methods for eXplainable AI. Part III - counterfactual explanations and causality for eXplainable AI; fairness, trust, privacy, security, accountability and actionability in eXplainable AI. Part IV - explainable AI in healthcare and computational neuroscience; explainable AI for improved human-computer interaction and software engineering for explainability; applications of explainable artificial intelligence.
Machine Translation From Real Users To Research
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Author : Robert E. Frederking
language : en
Publisher: Springer
Release Date : 2004-09-08
Machine Translation From Real Users To Research written by Robert E. Frederking and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-09-08 with Language Arts & Disciplines categories.
The previous conference in this series (AMTA 2002) took up the theme “From Research to Real Users”, and sought to explore why recent research on data-driven machine translation didn’t seem to be moving to the marketplace. As it turned out, the ?rst commercial products of the data-driven research movement were just over the horizon, andintheinterveningtwoyearstheyhavebeguntoappearinthemarketplace. Atthesame time,rule-basedmachinetranslationsystemsareintroducingdata-driventechniquesinto the mix in their products. Machine translation as a software application has a 50-year history. There are an increasing number of exciting deployments of MT, many of which will be exhibited and discussed at the conference. But the scale of commercial use has never approached the estimates of the latent demand. In light of this, we reversed the question from AMTA 2002, to look at the next step in the path to commercial success for MT. We took user needs as our theme, and explored how or whether market requirements are feeding into research programs. The transition of research discoveries to practical use involves te- nicalquestionsthatarenotassexyasthosethathavedriventheresearchcommunityand research funding. Important product issues such as system customizability, computing resource requirements, and usability and ?tness for particular tasks need to engage the creativeenergiesofallpartsofourcommunity,especiallyresearch,aswemovemachine translation from a niche application to a more pervasive language conversion process. Thesetopicswereaddressedattheconferencethroughthepaperscontainedinthesep- ceedings, and even more speci?cally through several invited presentations and panels.