Berkeley Introduction To Artificial Intelligence
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Artificial Intelligence
For one or two-semester, undergraduate or graduate-level courses in Artificial Intelligence. The long-anticipated revision of this best-selling text offers the most comprehensive, up-to-date introduction to the theory and practice of artificial intelligence.
Practical Machine Learning
The book provides an accessible, comprehensive introduction for beginners to machine learning, equipping them with the fundamental skills and techniques essential for this field. It enables beginners to construct practical, real-world solutions powered by machine learning across diverse application domains. It demonstrates the fundamental techniques involved in data collection, integration, cleansing, transformation, development, and deployment of machine learning models. This book emphasizes the importance of integrating responsible and explainable AI into machine learning models, ensuring these principles are prioritized rather than treated as an afterthought. To support learning, this book also offers information on accessing additional machine learning resources such as datasets, libraries, pre-trained models, and tools for tracking machine learning models. This is a core resource for students and instructors of machine learning and data science looking for a beginner-friendly material which offers real-world applications and takes ethical discussions into account. The Open Access version of this book, available at http://www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.
Enhancing Classroom Instruction and Student Skills With AI
Artificial Intelligence (AI) transforms the classroom experience by enhancing instruction and helping students build essential skills for the modern world. Teachers use AI tools to personalize learning, adapt lessons in real time, and automate administrative tasks, allowing more time to focus on student engagement. AI supports students in developing critical thinking, problem-solving, and digital literacy through interactive and adaptive platforms. By integrating AI into everyday teaching practices, educators create more dynamic, inclusive, and effective learning environments that meet the diverse needs of learners. Enhancing Classroom Instruction and Student Skills With AI explores the integration of intelligent technologies into education practices and skill development. It examines the effects of technology on curriculum, instruction techniques, and student engagement. This book covers topics such as critical thinking, higher education, and student engagement, and is a useful resource for educators, engineers, psychologists, academicians, researchers, and scientists.