Artificial Intelligence Basics (eBook)
213 Seiten
Packt Publishing (Verlag)
978-1-83664-104-9 (ISBN)
This book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques.
As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology.
Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.
Dive into the essentials of AI with this self-teaching guide, covering problem representation, search processes, game playing, knowledge representation, and more. Perfect for beginners and enthusiasts alike.Key FeaturesIn-depth introduction to AI concepts and applicationsPractical exercises and review questions for hands-on learningCovers both theoretical foundations and practical programming aspectsBook DescriptionThis book is designed as a self-teaching introduction to the fundamental concepts of artificial intelligence (AI). It begins with the history of AI, the Turing test, and early applications, providing a strong foundation. Later chapters cover the basics of searching, game playing, and knowledge representation. The journey continues with detailed explorations of expert systems and machine learning, equipping readers with essential AI techniques. As the course progresses, you will delve into separate programming chapters on Prolog and Python, learning how to implement AI concepts in these languages. These chapters offer practical coding experience, enhancing your understanding of AI programming. The book culminates with a comprehensive chapter on AI machines and robotics, showcasing numerous modern applications and providing a glimpse into the future of AI technology. Understanding these AI concepts is crucial as they form the basis of many modern technologies and applications. This book ensures a smooth transition from a beginner to a proficient AI practitioner, equipped with both theoretical knowledge and practical skills. By the end of the book, you will have a thorough understanding of AI's history, core principles, and practical implementations, ready to apply this knowledge to real-world problems and projects.What you will learnUnderstand the fundamentals of AILearn problem representation techniquesExplore search processesStudy game-playing algorithmsGrasp knowledge representation methodsGet introduced to Prolog and Python for AIWho this book is forIdeal for beginners in AI, computer science students, and tech enthusiasts. Prior knowledge of basic programming concepts is helpful but not required. Readers should be familiar with general computer usage and have an interest in AI and machine learning.]]>
| Erscheint lt. Verlag | 23.7.2024 |
|---|---|
| Sprache | englisch |
| Themenwelt | Mathematik / Informatik ► Informatik ► Datenbanken |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| ISBN-10 | 1-83664-104-4 / 1836641044 |
| ISBN-13 | 978-1-83664-104-9 / 9781836641049 |
| Haben Sie eine Frage zum Produkt? |
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