Produkte zum Begriff Campesato-Oswald-Artificial-Intelligence:
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Artificial Intelligence
Negnevitsky shows students how to build intelligent systems drawing on techniques from knowledge-based systems, neural networks, fuzzy systems, evolutionary computation and now also intelligent agents. The principles behind these techniques are explained without resorting to complex mathematics, showing how the various techniques are implemented, when they are useful and when they are not. No particular programming language is assumed and the book does not tie itself to any of the software tools available. The full text downloaded to your computer With eBooks you can: search for key concepts, words and phrases make highlights and notes as you study share your notes with friends eBooks are downloaded to your computer and accessible either offline through the Bookshelf (available as a free download), available online and also via the iPad and Android apps. Upon purchase, you'll gain instant access to this eBook. Time limit The eBooks products do not have an expiry date. You will continue to access your digital ebook products whilst you have your Bookshelf installed.
Preis: 53.49 € | Versand*: 0 € -
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come."—Tim Urban, author of Wait But WhyFully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.World-class instructor and practitioner Jon Krohn—with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens—presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.Discover what makes deep learning systems unique, and the implications for practitionersExplore new tools that make deep learning models easier to build, use, and improveMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and moreWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projectsRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Preis: 37.44 € | Versand*: 0 € -
Deep Learning Illustrated: A Visual, Interactive Guide to Artificial Intelligence
"The authors’ clear visual style provides a comprehensive look at what’s currently possible with artificial neural networks as well as a glimpse of the magic that’s to come."–Tim Urban, author of Wait But WhyFully Practical, Insightful Guide to Modern Deep LearningDeep learning is transforming software, facilitating powerful new artificial intelligence capabilities, and driving unprecedented algorithm performance. Deep Learning Illustrated is uniquely intuitive and offers a complete introduction to the discipline’s techniques. Packed with full-color figures and easy-to-follow code, it sweeps away the complexity of building deep learning models, making the subject approachable and fun to learn.World-class instructor and practitioner Jon Krohn–with visionary content from Grant Beyleveld and beautiful illustrations by Aglaé Bassens–presents straightforward analogies to explain what deep learning is, why it has become so popular, and how it relates to other machine learning approaches. Krohn has created a practical reference and tutorial for developers, data scientists, researchers, analysts, and students who want to start applying it. He illuminates theory with hands-on Python code in accompanying Jupyter notebooks. To help you progress quickly, he focuses on the versatile deep learning library Keras to nimbly construct efficient TensorFlow models; PyTorch, the leading alternative library, is also covered.You’ll gain a pragmatic understanding of all major deep learning approaches and their uses in applications ranging from machine vision and natural language processing to image generation and game-playing algorithms.Discover what makes deep learning systems unique, and the implications for practitionersExplore new tools that make deep learning models easier to build, use, and improveMaster essential theory: artificial neurons, training, optimization, convolutional nets, recurrent nets, generative adversarial networks (GANs), deep reinforcement learning, and moreWalk through building interactive deep learning applications, and move forward with your own artificial intelligence projectsRegister your book for convenient access to downloads, updates, and/or corrections as they become available. See inside book for details.
Preis: 37.44 € | Versand*: 0 € -
Artificial Intelligence for Business
The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and BeyondArtificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early expert systems to advanced deep learning networks.First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems.Compare the ways a machine can learn, and explore current leading ML algorithmsStart with the right problems, and avoid common AI/ML project mistakesUse neural networks to automate decision-making and identify unexpected patternsHelp neural networks learn more quickly and effectivelyHarness AI chatbots, virtual assistants, virtual agents, and conversational AI applications
Preis: 22.46 € | Versand*: 0 €
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Wie wird Deep Learning eingesetzt, um komplexe Probleme in Bereichen wie Bilderkennung und Spracherkennung zu lösen?
Deep Learning verwendet neuronale Netzwerke, um Muster in großen Datenmengen zu erkennen und zu lernen. Diese Modelle werden trainiert, um komplexe Merkmale in Bildern oder Sprachdaten zu identifizieren. Durch die Verwendung von Deep Learning können Algorithmen präzisere und effizientere Lösungen für komplexe Probleme in Bereichen wie Bilderkennung und Spracherkennung finden.
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Hat jedes Unternehmen eine Business Intelligence Abteilung und wann ist Business Intelligence sinnvoll?
Nicht jedes Unternehmen hat eine dedizierte Business Intelligence Abteilung. Die Einrichtung einer solchen Abteilung hängt von verschiedenen Faktoren ab, wie der Größe des Unternehmens, dem Bedarf an Datenanalyse und der strategischen Ausrichtung. Business Intelligence ist sinnvoll, wenn ein Unternehmen große Mengen an Daten sammelt und analysiert, um daraus Erkenntnisse und Handlungsempfehlungen abzuleiten, die zur Verbesserung der Geschäftsprozesse und zur Steigerung der Effizienz beitragen können.
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Ist Machine Learning bereits künstliche Intelligenz?
Machine Learning ist ein Teilgebiet der künstlichen Intelligenz. Es befasst sich mit der Entwicklung von Algorithmen und Modellen, die es Computern ermöglichen, aus Daten zu lernen und Vorhersagen zu treffen. Künstliche Intelligenz umfasst jedoch auch andere Bereiche wie Expertensysteme, natürliche Sprachverarbeitung und Robotik.
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Wie beeinflusst maschinelles Lernen die zukünftige Entwicklung von künstlicher Intelligenz und Automatisierung?
Maschinelles Lernen ermöglicht es künstlicher Intelligenz, sich selbstständig weiterzuentwickeln und zu verbessern. Durch Automatisierung können Prozesse effizienter gestaltet und menschliche Arbeitskräfte entlastet werden. Die Kombination von maschinellem Lernen und Automatisierung wird die Zukunft der Technologie maßgeblich prägen.
Ähnliche Suchbegriffe für Campesato-Oswald-Artificial-Intelligence:
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Artificial Intelligence for Business
The Easy Introduction to Machine Learning (Ml) for Nontechnical People--In Business and BeyondArtificial Intelligence for Business is your plain-English guide to Artificial Intelligence (AI) and Machine Learning (ML): how they work, what they can and cannot do, and how to start profiting from them. Writing for nontechnical executives and professionals, Doug Rose demystifies AI/ML technology with intuitive analogies and explanations honed through years of teaching and consulting. Rose explains everything from early expert systems to advanced deep learning networks.First, Rose explains how AI and ML emerged, exploring pivotal early ideas that continue to influence the field. Next, he deepens your understanding of key ML concepts, showing how machines can create strategies and learn from mistakes. Then, Rose introduces current powerful neural networks: systems inspired by the structure and function of the human brain. He concludes by introducing leading AI applications, from automated customer interactions to event prediction. Throughout, Rose stays focused on business: applying these technologies to leverage new opportunities and solve real problems.Compare the ways a machine can learn, and explore current leading ML algorithmsStart with the right problems, and avoid common AI/ML project mistakesUse neural networks to automate decision-making and identify unexpected patternsHelp neural networks learn more quickly and effectivelyHarness AI chatbots, virtual assistants, virtual agents, and conversational AI applications
Preis: 22.46 € | Versand*: 0 € -
AIPD - Artificial Intelligence Police Department
AIPD - Artificial Intelligence Police Department
Preis: 1.95 € | Versand*: 0.00 € -
Prolog Programming for Artificial Intelligence
The fourth edition of this best-selling guide to Prolog and Artificial Intelligence has been updated to include key developments in the field while retaining its lucid approach to these topics. New and extended topics include Constraint Logic Programming, abductive reasoning and partial order planning.Divided into two parts, the first part of the book introduces the programming language Prolog, while the second part teaches Artificial Intelligence using Prolog as a tool for the implementation of AI techniques.This textbook is meant to teach Prolog as a practical programming tool and so it concentrates on the art of using the basic mechanisms of Prolog to solve interesting problems. The fourth edition has been fully revised and extended to provide an even greater range of applications, making it a self-contained guide to Prolog, AI or AI Programming for students and professional programmers.
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Artificial Intelligence: A Modern Approach, Global Edition
Thelong-anticipated revision of ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI.
Preis: 53.49 € | Versand*: 0 €
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Wo können verschiedene Einsatzgebiete für künstliche Intelligenz und Maschinelles Lernen gefunden werden?
Künstliche Intelligenz und Maschinelles Lernen finden Anwendung in Bereichen wie Gesundheitswesen, Finanzwesen und Automobilindustrie. Sie werden auch in der Bilderkennung, Spracherkennung und Prozessautomatisierung eingesetzt. Weitere Einsatzgebiete sind Robotik, Marketing und Sicherheitstechnologien.
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Wie kann die Informationsverarbeitung durch künstliche Intelligenz und maschinelles Lernen verbessert werden?
Die Informationsverarbeitung kann durch künstliche Intelligenz und maschinelles Lernen verbessert werden, indem Algorithmen kontinuierlich trainiert und optimiert werden. Zudem können leistungsstarke Rechenressourcen und Datenanalysen eingesetzt werden, um die Verarbeitungsgeschwindigkeit und -genauigkeit zu erhöhen. Außerdem ist es wichtig, die Modelle regelmäßig zu überprüfen und anzupassen, um sicherzustellen, dass sie den aktuellen Anforderungen entsprechen.
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Ist dieser Händler seriös, Oswald Versandhaus?
Als KI habe ich keine Möglichkeit, die Seriosität eines bestimmten Händlers zu überprüfen. Es wird empfohlen, vor dem Kauf bei einem Händler wie Oswald Versandhaus nach Bewertungen und Erfahrungen anderer Kunden zu suchen. Außerdem sollten Sie sicherstellen, dass der Händler über sichere Zahlungsmethoden und einen guten Kundenservice verfügt.
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Was ist über Oswald Mosley bekannt?
Oswald Mosley war ein britischer Politiker, der in den 1930er Jahren den British Union of Fascists gründete. Er war ein prominenter Anhänger des Faschismus und propagierte rassistische und antidemokratische Ideen. Mosley wurde während des Zweiten Weltkriegs interniert und seine politische Karriere endete danach.
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