BOOKS - Demystifying Artificial Intelligence Symbolic, Data-Driven, Statistical and E...
Demystifying Artificial Intelligence Symbolic, Data-Driven, Statistical and Ethical AI - Emmanuel Gillain 2024 PDF | EPUB De Gruyter BOOKS
ECO~18 kg CO²

1 TON

Views
64810

Telegram
 
Demystifying Artificial Intelligence Symbolic, Data-Driven, Statistical and Ethical AI
Author: Emmanuel Gillain
Year: 2024
Pages: 476
Format: PDF | EPUB
File size: 34.1 MB
Language: ENG



Pay with Telegram STARS
The book will cover the following topics: 1. Introduction to AI, 2. Symbolic AI, 3. Statistical AI, 4. Ethics of AI, 5. Applications of AI, 6. Limitations of AI, 7. Future of AI. Demystifying Artificial Intelligence is a comprehensive guide to understanding the complex world of AI and its applications in the real world. It provides a detailed description of the process of technology evolution, the need and possibility of developing a personal paradigm for perceiving the technological process of developing modern knowledge as the basis for the survival of humanity and the survival of the unification of people in a warring state. The book is written in a simplified and accessible text format, making it easy to understand for business professionals who want to demystify AI and its applications. Introduction to AI: Artificial Intelligence (AI) is a rapidly evolving field that has the potential to transform many aspects of our lives. From healthcare to finance, transportation to education, AI is being used to improve efficiency, accuracy, and decision-making. However, with great power comes great responsibility, and the development and use of AI raises important ethical and societal questions. This chapter will provide an overview of AI, its history, current trends, and future prospects. Symbolic AI: Symbolic AI systems use explicit symbols to represent the world and make conclusions. These systems are based on logical rules and are often used in areas such as expert systems, natural language processing, and computer vision.
Книга будет охватывать следующие темы: 1. Введение в ИИ, 2. Символический ИИ, 3. Статистический ИИ, 4. Этика ИИ, 5. Применение ИИ, 6. Ограничения ИИ, 7. Будущее ИИ. Demystifying Artificial Intelligence - всеобъемлющее руководство по пониманию сложного мира ИИ и его приложений в реальном мире. В ней дается подробное описание процесса эволюции технологий, необходимость и возможность выработки личностной парадигмы восприятия технологического процесса развития современного знания как основы выживания человечества и выживания объединения людей в воюющем государстве. Книга написана в упрощенном и доступном текстовом формате, что позволяет легко понять ее бизнес-специалистам, которые хотят демистифицировать ИИ и его приложения. Введение в ИИ: Искусственный интеллект (ИИ) - это быстро развивающаяся область, которая может трансформировать многие аспекты нашей жизни. От здравоохранения до финансов, транспорта и образования, ИИ используется для повышения эффективности, точности и принятия решений. Однако с большой силой приходит большая ответственность, а разработка и использование ИИ поднимает важные этические и социальные вопросы. В этой главе будет представлен обзор ИИ, его истории, текущих тенденций и будущих перспектив. Символический ИИ: Символические системы ИИ используют явные символы, чтобы представлять мир и делать выводы. Эти системы основаны на логических правилах и часто используются в таких областях, как экспертные системы, обработка естественного языка и компьютерное зрение.
livre couvrira les sujets suivants : 1. Introduction à l'IA, 2. L'IA symbolique, 3. IA statistique, 4. Éthique de l'IA, 5. Application de l'IA, 6. Restrictions de l'IA, 7. futur de l'IA. Demystifying Artificial Intelligence est un guide complet pour comprendre le monde complexe de l'IA et ses applications dans le monde réel. Il décrit en détail le processus d'évolution des technologies, la nécessité et la possibilité d'élaborer un paradigme personnel pour percevoir le processus technologique du développement des connaissances modernes comme la base de la survie de l'humanité et de la survie de l'unification des gens dans un État en guerre. livre est écrit dans un format de texte simplifié et accessible, ce qui permet de comprendre facilement les professionnels qui veulent démystifier l'IA et ses applications. Introduction à l'IA : L'intelligence artificielle (IA) est un domaine en évolution rapide qui peut transformer de nombreux aspects de notre vie. De la santé aux finances, en passant par les transports et l'éducation, l'IA est utilisée pour améliorer l'efficacité, la précision et la prise de décision. Cependant, une grande responsabilité vient avec force, et le développement et l'utilisation de l'IA soulève d'importantes questions éthiques et sociales. Ce chapitre donnera un aperçu de l'IA, de son histoire, des tendances actuelles et des perspectives futures. L'IA symbolique : s systèmes symboliques de l'IA utilisent des symboles explicites pour représenter le monde et tirer des conclusions. Ces systèmes sont basés sur des règles logiques et sont souvent utilisés dans des domaines tels que les systèmes experts, le traitement du langage naturel et la vision par ordinateur.
libro cubrirá los siguientes temas: 1. Introducción a la IA, 2. AI simbólica, 3. IA estadística, 4. Ética de la IA, 5. Aplicación de IA, 6. Restricciones de IA, 7. futuro de la IA. Demystifying Artificial Intelligence es una guía completa para comprender el complejo mundo de la IA y sus aplicaciones en el mundo real. Ofrece una descripción detallada del proceso de evolución de la tecnología, la necesidad y la posibilidad de desarrollar un paradigma personal para percibir el proceso tecnológico del desarrollo del conocimiento moderno como base para la supervivencia de la humanidad y la supervivencia de la unión de los seres humanos en un Estado en guerra. libro está escrito en un formato de texto simplificado y accesible, lo que facilita su comprensión a los profesionales del negocio que quieren desmitificar la IA y sus aplicaciones. Introducción a la IA: La inteligencia artificial (IA) es un campo en rápido desarrollo que puede transformar muchos aspectos de nuestras vidas. Desde la salud hasta las finanzas, el transporte y la educación, la IA se utiliza para mejorar la eficiencia, la precisión y la toma de decisiones. n embargo, con gran fuerza llega una gran responsabilidad, y el desarrollo y uso de la IA plantea importantes cuestiones éticas y sociales. Este capítulo ofrecerá una visión general de la IA, su historia, tendencias actuales y perspectivas de futuro. IA simbólica: sistemas simbólicos de IA utilizan símbolos explícitos para representar el mundo y sacar conclusiones. Estos sistemas se basan en reglas lógicas y se utilizan a menudo en áreas como sistemas expertos, procesamiento de lenguaje natural y visión por computadora.
Das Buch behandelt folgende Themen: 1. Einführung in die KI, 2. Symbolische KI, 3. Statistische KI, 4. Ethik der KI, 5. Anwendung von KI, 6. Einschränkungen der KI, 7. Die Zukunft der KI. Demystifying Artificial Intelligence ist ein umfassender itfaden zum Verständnis der komplexen Welt der KI und ihrer Anwendungen in der realen Welt. Es gibt eine detaillierte Beschreibung des Prozesses der Technologieentwicklung, die Notwendigkeit und die Möglichkeit, ein persönliches Paradigma für die Wahrnehmung des technologischen Prozesses der Entwicklung des modernen Wissens als Grundlage für das Überleben der Menschheit und das Überleben der Vereinigung von Menschen in einem kriegführenden Staat zu entwickeln. Das Buch ist in einem vereinfachten und zugänglichen Textformat geschrieben, das es für Geschäftsleute, die die KI und ihre Anwendungen entmystifizieren möchten, leicht verständlich macht. Einführung in KI: Künstliche Intelligenz (KI) ist ein sich schnell entwickelnder Bereich, der viele Aspekte unseres bens verändern kann. Von Gesundheitswesen über Finanzen bis hin zu Transport und Bildung wird KI eingesetzt, um Effizienz, Genauigkeit und Entscheidungsfindung zu verbessern. Mit großer Kraft kommt jedoch eine große Verantwortung, und die Entwicklung und Nutzung von KI wirft wichtige ethische und soziale Fragen auf. Dieses Kapitel gibt einen Überblick über KI, ihre Geschichte, aktuelle Trends und Zukunftsperspektiven. Symbolische KI: Symbolische KI-Systeme verwenden explizite Symbole, um die Welt darzustellen und Schlussfolgerungen zu ziehen. Diese Systeme basieren auf logischen Regeln und werden häufig in Bereichen wie Expertensystemen, natürlicher Sprachverarbeitung und Computer Vision eingesetzt.
''
Kitap aşağıdaki konuları kapsayacaktır: 1. Yapay zekaya giriş, 2. Sembolik yapay zeka, 3. İstatistiksel YZ, 4. YZ etiği, 5. Yapay zekanın uygulanması, 6. YZ sınırlamaları, 7. Yapay zekanın geleceği. Demistifying Artificial Intelligence, yapay zekanın karmaşık dünyasını ve gerçek dünyadaki uygulamalarını anlamak için kapsamlı bir kılavuzdur. Teknolojinin evrim sürecinin ayrıntılı bir tanımını, modern bilginin gelişiminin teknolojik sürecinin algılanması için kişisel bir paradigma geliştirmenin gerekliliğini ve olasılığını, insanlığın hayatta kalmasının ve savaşan bir durumda insanların birleşmesinin hayatta kalmasının temeli olarak verir. Kitap basitleştirilmiş ve erişilebilir bir metin biçiminde yazılmıştır, bu da AI'yı ve uygulamalarını anlamak isteyen iş profesyonellerinin anlamasını kolaylaştırır. Yapay zekaya giriş: Yapay zeka (AI), hayatımızın birçok yönünü dönüştürme potansiyeline sahip, hızla gelişen bir alandır. Sağlık hizmetlerinden finans, ulaşım ve eğitime kadar, AI verimliliği, doğruluğu ve karar vermeyi geliştirmek için kullanılır. Bununla birlikte, büyük güçle büyük sorumluluk gelir ve AI'nın geliştirilmesi ve kullanılması önemli etik ve sosyal sorunları gündeme getirir. Bu bölüm AI, tarihi, mevcut eğilimler ve gelecekteki beklentiler hakkında genel bir bakış sağlayacaktır. Sembolik AI: Sembolik AI sistemleri, dünyayı temsil etmek ve sonuç çıkarmak için açık semboller kullanır. Bu sistemler mantıksal kurallara dayanır ve genellikle uzman sistemler, doğal dil işleme ve bilgisayar görüşü gibi alanlarda kullanılır.
سيغطي الكتاب المواضيع التالية: 1. مقدمة للذكاء الاصطناعي، 2. الذكاء الاصطناعي الرمزي، 3. الذكاء الاصطناعي الإحصائي، 4. أخلاقيات الذكاء الاصطناعي، 5. تطبيق منظمة العفو الدولية، 6. قيود الذكاء الاصطناعي، 7. مستقبل الذكاء الاصطناعي. إزالة الغموض عن الذكاء الاصطناعي هو دليل شامل لفهم العالم المعقد للذكاء الاصطناعي وتطبيقاته في العالم الحقيقي. وهو يقدم وصفا مفصلا لعملية تطور التكنولوجيا، والحاجة إلى وضع نموذج شخصي لإدراك العملية التكنولوجية لتطور المعرفة الحديثة كأساس لبقاء البشرية وبقاء توحيد الشعوب في حالة حرب. الكتاب مكتوب بتنسيق نص مبسط ويمكن الوصول إليه، مما يسهل على المتخصصين في الأعمال الذين يرغبون في إزالة الغموض عن الذكاء الاصطناعي وتطبيقاته لفهمه. مقدمة للذكاء الاصطناعي: الذكاء الاصطناعي (AI) هو مجال سريع التطور لديه القدرة على تغيير العديد من جوانب حياتنا. من الرعاية الصحية إلى التمويل والنقل والتعليم، يتم استخدام الذكاء الاصطناعي لتحسين الكفاءة والدقة واتخاذ القرار. ومع ذلك، مع القوة العظمى تأتي مسؤولية كبيرة، وتطوير واستخدام الذكاء الاصطناعي يثير قضايا أخلاقية واجتماعية مهمة. سيقدم هذا الفصل لمحة عامة عن الذكاء الاصطناعي وتاريخه والاتجاهات الحالية والآفاق المستقبلية. الذكاء الاصطناعي الرمزي: تستخدم أنظمة الذكاء الاصطناعي الرمزية رموزًا صريحة لتمثيل العالم واستخلاص الاستنتاجات. تستند هذه الأنظمة إلى قواعد منطقية وغالبًا ما تستخدم في مجالات مثل أنظمة الخبراء ومعالجة اللغة الطبيعية ورؤية الكمبيوتر.

You may also be interested in:

Before Machine Learning, Volume 2 - Calculus for A.I. The fundamental mathematics for Data Science and Artificial Intelligence
No-Code Data Science Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence
Artificial Intelligence for Beginners Easy to understand guide of Ai, data Science and Internet of Things
Artificial Intelligence and Data Science in Recommendation System Current Trends, Technologies and Applications
Before Machine Learning, Volume 2 - Calculus for A.I. The fundamental mathematics for Data Science and Artificial Intelligence
Artificial Intelligence and Data Science in Recommendation System Current Trends, Technologies and Applications
No-Code Data Science Mastering Advanced Analytics, Machine Learning, and Artificial Intelligence
Before Machine Learning Volume 2 - Calculus for A.I: The fundamental mathematics for Data Science and Artificial Intelligence
Data-Driven Modelling and Predictive Analytics in Business and Finance: Concepts, Designs, Technologies, and Applications (Advances in Computational Collective Intelligence)
Artificial Intelligence Class 7 Computer Textbook Series for Artificial Intelligence
Artificial Intelligence for Scientific Discoveries: Extracting Physical Concepts from Experimental Data Using Deep Learning
Learn Microsoft Fabric: A practical guide to performing data analytics in the era of artificial intelligence
Artificial Intelligence in China: Proceedings of the 4th International Conference on Artificial Intelligence in China (Lecture Notes in Electrical Engineering Book 871)
Artificial Intelligence on Dark Matter and Dark Energy: Reverse Engineering of the Big Bang (Chapman and Hall CRC Artificial Intelligence and Robotics Series)
Tomorrow|s Artificial Intelligence: A Futurist|s Guide to Understanding and Harnessing AI Technology That Is Shaping Our World (Embracing Artificial Intelligence)
Statistical Sciences and Data Analysis: Proceedings of the Third Pacific Area Statistical Conference
Advances in Artificial Intelligence - IBERAMIA 2022: 17th Ibero-American Conference on AI, Cartagena de Indias, Colombia, November 23-25, 2022, Proceedings (Lecture Notes in Artificial Intelligence)
Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security
Fusion of Artificial Intelligence and Machine Learning for Advanced Image Processing, Data Analysis, and Cyber Security
Recent Advances in Data and Algorithms for e-Government (Artificial Intelligence-Enhanced Software and Systems Engineering Book 5)
Machine Learning for Business How to Build Artificial Intelligence through Concepts of Statistics, Algorithms, Analysis, and Data Mining
Handbook of Artificial Intelligence for Smart City Development: Management Systems and Technology Challenges (Big Data for Industry 4.0)
Advances in Digital Marketing in the Era of Artificial Intelligence Case Studies and Data Analysis for Business Problem Solving
Advances in Digital Marketing in the Era of Artificial Intelligence Case Studies and Data Analysis for Business Problem Solving
Artificial Intelligence Ethics and International Law A Techno-Social Vision of Artificial Intelligence in the International Life
Artificial Intelligence on Medical Data: Proceedings of International Symposium, ISCMM 2021 (Lecture Notes in Computational Vision and Biomechanics, 37)
Advances in Data Science Symbolic, Complex, and Network Data
The Use of Artificial Intelligence for Space Applications: Workshop at the 2022 International Conference on Applied Intelligence and Informatics (Studies in Computational Intelligence Book 1088)
AIxIA 2022 - Advances in Artificial Intelligence: XXIst International Conference of the Italian Association for Artificial Intelligence, AIxIA 2022, … (Lecture Notes in Computer Science, 13796)
Essential Data Analytics, Data Science, and AI A Practical Guide for a Data-Driven World
Machine Learning: 4 Books in 1: A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Machine Learning 4 Books in 1 A Complete Overview for Beginners to Master the Basics of Python Programming and Understand How to Build Artificial Intelligence Through Data Science
Big Data, Big Design Why Designers Should Care about Artificial Intelligence
Intelligent Security Systems How Artificial Intelligence, Machine Learning and Data Science Work For and Against Computer Security
Advancement of Data Processing Methods for Artificial and Computing Intelligence (River Publishers Series in Computing and Information Science and Technology)
PYTHON PROGRAMMING 3 BOOKS IN 1 Learn machine learning, data science and analysis with a crash course for beginners. Included coding exercises for artificial intelligence, Numpy, Pandas and Ipython
Logic Reference Book for Computer Scientists The 2nd Revised, Modified, and Enlarged Edition of “Logics for Computer and Data Sciences, and Artificial Intelligence”
Logic Reference Book for Computer Scientists The 2nd Revised, Modified, and Enlarged Edition of “Logics for Computer and Data Sciences, and Artificial Intelligence”
Data Visualization and Statistical Literacy for Open and Big Data
Statistical and Machine-Learning Data Mining Techniques for Better Predictive Modeling and Analysis of Big Data, Third Edition