Artificial Intelligence Textbook with Reinforcement Learning

Harry Katzan Jr.

ISBN 10: 1663272999 / ISBN 13: 9781663272997

Editore: Iuniverse Mai 2025, 2025

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This item is printed on demand - Print on Demand Titel. Neuware -This a book on Artificial Intelligence. It is both a text book and a reference book. Itis designed for online learning. It is one of many books on the subject of artificialintelligence. There are more than 400 of them. It is the only one on strategy that isintended to reflect on how to go about doing AI for productive purposes. It also coversabout what AI is already, but it is more than that. It answers the question 'Can a machinethink ' and most people are quite tired of that question. In fact, people are now moreinterested in how to do what we want to do.In fact, AI is a inportant subject in our lives and here are two outstanding books thatatune to that assertion: The Singularity is Nearer (2024) by Ray Kurzweil, and ArtificialIntelligence: A Modern Approach (1995) by Stuart Russell and Peter Norvig. Thewriters are exceedingly intelligent, and the books are useful but not that easy to read.University research is equally noteworthy. But what about the strategy of adopting AI forthe modern operational environment How do you know what to do and how to do it.Do you have to be a scientist or a mathematician to do the job Absolutely not. Doyou need to be a manager, a major CEO, or even the President of a country. Probablyyes. But you need to have the information to do the job. This book gives you what youshould do to implement AI in the organization and precisely what you need to knowin order to do it.When doing the job of implementing, should you be knowledgeable about precislywhat has to be done Of course. Do you personally have to do it Not at all. Do youneed information on related subjects, of course again. Do you have to read this bookserially Of course not; it is too detailed.Will this be happy reading On some topics, yes. I other sections, not so much. Thereare a lot of pages because the environment of AI is large and complicated. Many of thesubjects covered in this book will be extremely useful in other areas of business andthe organizaton.One more thing. One of the leading topics in Artificial Intelligence research isReinforcement Learning that serves as the basis for ChatGPT, similar systems, and awide range of AI topics. Every reader and every student should be advised of its existentand be comfortable with its subject matter.Libri GmbH, Europaallee 1, 36244 Bad Hersfeld 334 pp. Englisch.

Codice articolo 9781663272997

Dati bibliografici

• Titolo: Artificial Intelligence Textbook with Reinforcement Learning
• Editore: Iuniverse Mai 2025
• Data di pubblicazione: 2025
• Lingua: Inglese
• ISBN 10: 1663272999
• ISBN 13: 9781663272997
• Rilegatura: Buch
• Condizione: Neu
• Dimensioni: 222 L x 145 A x 22 P (millimetri) 222 millimetri di larghezza per 145 millimetri di altezza per 22 millimetri di profondità
• Peso: 553 grammi

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Riassunto

This a book on Artificial Intelligence. It is both a text book and a reference book. It is designed for online learning. It is one of many books on the subject of artificial intelligence. There are more than 400 of them. It is the only one on strategy that is intended to reflect on how to go about doing AI for productive purposes. It also covers about what AI is already, but it is more than that. It answers the question “Can a machine think?” and most people are quite tired of that question. In fact, people are now more interested in how to do what we want to do. In fact, AI is a inportant subject in our lives and here are two outstanding books that atune to that assertion: The Singularity is Nearer (2024) by Ray Kurzweil, and Artificial Intelligence: A Modern Approach (1995) by Stuart Russell and Peter Norvig. The writers are exceedingly intelligent, and the books are useful but not that easy to read. University research is equally noteworthy. But what about the strategy of adopting AI for the modern operational environment? How do you know what to do and how to do it. Do you have to be a scientist or a mathematician to do the job? Absolutely not. Do you need to be a manager, a major CEO, or even the President of a country. Probably yes. But you need to have the information to do the job. This book gives you what you should do to implement AI in the organization and precisely what you need to know in order to do it. When doing the job of implementing, should you be knowledgeable about precisly what has to be done? Of course. Do you personally have to do it? Not at all. Do you need information on related subjects, of course again. Do you have to read this book serially? Of course not; it is too detailed. Will this be happy reading? On some topics, yes. I other sections, not so much. There are a lot of pages because the environment of AI is large and complicated. Many of the subjects covered in this book will be extremely useful in other areas of business and the organizaton. One more thing. One of the leading topics in Artificial Intelligence research is Reinforcement Learning that serves as the basis for ChatGPT, similar systems, and a wide range of AI topics. Every reader and every student should be advised of its existent and be comfortable with its subject matter.