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Camayd-Freixas E: Metagrammar

Metagrammar

Critical Thinking and Problem Solving in the Age of Artificial Intelligence

Augmented and Virtual Reality in Healthcare

A complete guide to deep neural networks – the technology behind AI – covering fundamental and advanced techniques to apply machine learning in real-world scenarios. Deep Learning Crash Course goes beyond the basics of machine learning to delve into modern techniques and applications of great interest right now, and whose popularity will only grow in the future. The book covers topics such as generative models (the technology behind deep fakes), self-supervised learning, attention mechanisms (the tech behind ChatGPT), graph neural networks (the tech behind AlphaFold), and deep reinforcement learning (the tech behind AlphaGo). This book bridges the gap between theory and practice, helping readers gain the confidence to apply deep learning in their work.

Deep Learning Crash Course

Das Handbuch leistet eine erste Bestandsaufnahme der im Fach Medienwissenschaft genutzten Methoden zur Untersuchung digitaler Kulturen. Es vermittelt einen Überblick über medienkulturwissenschaftliche Forschungsdesigns und den Umgang mit Forschungsdaten. Dabei stellt das Handbuch sowohl methodische Ansätze zur Erhebung und Analyse digitaler Artefakte, Praktiken und Phänomene vor, wie auch spezifisch digitale Methoden der Datenanalyse und -visualisierung. Die Beiträge stellen konkrete Anwendungen vor und reflektieren den jeweiligen methodischen Ansatz in der Fachkultur und den Arbeitsgebieten der Medienwissenschaft.

Handbuch Digitale Medien und Methoden

Five Keys for Analytics and AI Maturity

Data Makes the World Go Round

Advanced Intelligence Methods for Data Science and Optimization covers the latest research trends and applications of AI topics such as deep learning, reinforcement learning, evolutionary algorithms, Bayesian optimization, and swarm intelligence. The book is a comprehensive guide that provides readers with theoretical concepts and case studies for applying advanced intelligence methods to real-world problems. Authored by a team of renowned experts in the field, the book offers a holistic approach to understanding and applying intelligence methods across various domains. It explores the fundamental concepts of data science and optimization, providing a strong foundation for readers to build upon, and will be a welcomed resource for AI researchers, data scientists, engineers, and developers on key topics such as evolutionary optimization techniques, reinforcement learning, Natural Language Processing, Bayesian optimization, advanced analytics for large-scale data, fuzzy logic, quantum computing, graph theory, convex optimization, differential evolution, and more.

Advanced Intelligence Methods for Data Science and Optimization

Why Change Is Hard and How We Can Achieve It

New Beginnings

Medical Robots and Devices: New Developments and Advances

From Technology to Clinical Practice

Robotics for Intervention in Healthcare

Sybex Study Guide

A fast and efficient prep handbook for the Azure AI Fundamentals certification exam In MC Microsoft Certified Azure AI Fundamentals Study Guide: Exam AI-900, experienced software engineer Adora Nwodo walks you through every technical topic you need to understand to succeed on the AI-900 certification exam and build a fundamental understanding of Azure AI features. The Study Guide uses the proven and popular Sybex approach to help you use Azure AI in the real-world, whether you're in a technical or non-technical role. Nwodo offers clear explanations, step-by-step instructions, and visual aids to guide you through essential AI concepts and shows you how to use them in the Azure cloud. You'll learn about: <ul> <li>Artificial intelligence concepts and workloads</li> <li>Responsible AI use in Azure</li> <li>Core concepts in AI models and solutions</li> <li>Introduction to machine learning concepts, including data preprocessing, training and validation, algorithms, and more</li> <li>The application of machine learning concepts on the Azure cloud platform</li> <li>Computer vision in Azure</li> <li>Natural language processing concepts</li> <li>Generative AI concepts</li> <li>The Azure OpenAI Service</li> <li>Example AI use cases and industry-specific applications</li> </ul> The MC Microsoft Certified Azure AI Fundamentals Study Guide highlights best practices for industry newcomers and veterans alike and builds the confidence you need to pass the AI-900 certification exam on your first attempt. Inside the book: <ul> <li>Intuitively organized material and additional sample questions that allow you to selectively study the areas in which you need to improve</li> <li>Carefully explained content appropriate for non-technical professionals who interact with AI technologies occasionally or on a daily basis</li> <li>Complimentary access to the superior Sybex online learning environment and test bank, including practice test questions, digital flashcards, and a glossary of key terms</li> </ul> Perfect for everyone preparing for the AI-900 certification exam, the Microsoft Certified Azure AI Fundamentals Study Guide is also a must-read for technical and non-technical professionals--especially those working in AI-impacted industries like sales and marketing--who wish to expand their AI skillset and improve their effectiveness at work.

Exam AI-900

MC Azure AI Fundamentals Study Guide

Building and Deploying AI Applications at Scale

ML and Generative AI in the Data Lakehouse

Shortest Histories

The Shortest History of AI

Psychophysics and Experimental Phenomenology of Pattern Cognition

Beck international

The Book
Artificial Intelligence will profoundly shape the future economy and society. Whereas the potential benefits are notable and desirable, the risk of serious harm is considerable. The new EU AI Act 2024/1689 therefore seeks to provide a legal framework to regulate AI systems in the EU.
Written by an international team of experts, this Article-by-Article Commentary provides a comprehensive analysis and explanation of each of the provisions of the AI Act to assist in the interpretation and application. Each commentary follows a clear and uniform structure, also providing key information on the function and context of each provision. Where appropriate, practice tips are also given.

The Advantages at a GlanceComprehensive analysisInternational team of renowned expertsClear and uniform structure
The Target Group
For in-house counsel, legal practitioners, scholars, supervisory authorities, industry groups.

Article-by-Article Commentary

Artificial Intelligence Act

Metagrammar

Informations bibliographiques

Mots-clés

Informations bibliographiques

Mots-clés

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