000			02028nam a22002297a 4500
005			20260804130323.0
008			260804s2025 |||||||| |||| 00| 0 eng d
020			_a9783031844225
040			_cPK-LaUMT
082			_a006.3 _bBAI-A
100	1		_aBai, Ying _913675
245	1	0	_aAI foundations and applications with MATLAB / _cYing Bai
260			_aCham : _bSpringer, _c2025
300			_axxi, 673 p.
500			_aIndex present
520			_aThis 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
546			_aEng
650			_aMATLAB
650			_aMachine learning
650			_aDeep learning
942			_cBK
999			_c141882 _d141882