AI Foundations and Applications with MATLAB
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Beschreibung
This textbook provides fundamentals and practical skills on AI foundations and applications with two MATLAB programming modes. It includes twelve chapters with detailed introductions for the foundation knowledge of AI, structures, key components, and hands-on AI projects implemented in various applications in our world.
Unlike other AI related textbooks, in which the Python is used, the MATLAB is adopted in this textbook. The Python programming mode builds AI projects with functions involving huge blocks of codes, which is a difficult task. However, in MATLAB mode, provides two programming styles, Apps, and function library. The Apps graphical user interface (GUIs) assist users, especially the beginners, to learn and build AI projects with no coding lines quickly and easily. To compensate the possible code-hiding in Apps, MATLAB provides a Converting Codes function to allow users to convert those Apps to the related codes. It enables users to have a clear picture between Apps and detailed coding process. The function library enables users to build AI projects with detailed codes. This textbook also includes homework questions, exercises, lab projects and case studies.
This book is designed as a textbook for advanced-level students in Computer Science or Computer Engineering. Also, AI engineers, who have an interest in learning and developing professional AI applications to solve real problems in the world will want to purchase this book.
This textbook provides fundamentals and practical skills on AI foundations and applications with two MATLAB programming modes. It includes twelve chapters with detailed introductions for the foundation knowledge of AI, structures, key components, and hands-on AI projects implemented in various applications in our world.
Unlike other AI related textbooks, in which the Python is used, the MATLAB is adopted in this textbook. The Python programming mode builds AI projects with functions involving huge blocks of codes, which is a difficult task. However, in MATLAB mode, provides two programming styles, Apps, and function library. The Apps graphical user interface (GUIs) assist users, especially the beginners, to learn and build AI projects with no coding lines quickly and easily. To compensate the possible code-hiding in Apps, MATLAB provides a Converting Codes function to allow users to convert those Apps to the related codes. It enables users to have a clear picture between Apps and detailed coding process. The function library enables users to build AI projects with detailed codes. This textbook also includes homework questions, exercises, lab projects and case studies.
This book is designed as a textbook for advanced-level students in Computer Science or Computer Engineering. Also, AI engineers, who have an interest in learning and developing professional AI applications to solve real problems in the world will want to purchase this book.
Offers fundamental theoretical knowledge to master the main AI topics with two MATLAB programming modes Provides teaching materials to assist instructors and students to teach and learn AI technologies efficiently Includes 134 projects, class and lab projects, homework questions and all sample datasets used to build lab projects Request lecturer material: sn.pub/lecturer-material
Autor*in
Ying Bai
Themen in »AI Foundations and Applications with MATLAB«
Artificial Intelligence Machine Learning Fuzzy Inference Systems Deep Learning Reinforcement Learning