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The significantly reorganized revised edition of the book (2023) [2] expands and modernizes the presented mathematical principles, computational methods, data science techniques, model-based machine learning and model-free artificial intelligence algorithms. The 14 chapters of the new edition start with an introduction and progressively build ...
The collection comprises books and journals on advertising, broadcasting, information studies, journalism, knowledge management, library science, media law and ethics, amongst others. It also maintains materials pertaining to Communication in Asia with complete set of conference proceedings and research reports produced by the Asian Media ...
Data science is multifaceted and can be described as a science, a research paradigm, a research method, a discipline, a workflow, and a profession. [4] Data science is "a concept to unify statistics, data analysis, informatics, and their related methods" to "understand and analyze actual phenomena" with data. [5]
Nanyang Technological University (NTU) is a public research university in Singapore.Founded in 1981, it is also the second oldest autonomous university in the country.. The university is organised across numerous colleges and schools, including the College of Engineering, College of Science, Nanyang Business School, Lee Kong Chian School of Medicine, College of Humanities, Arts and Social ...
The NTU RGB-D (Nanyang Technological University's Red Blue Green and Depth information) dataset is a large dataset containing recordings of labeled human activities. [1] This dataset consists of 56,880 action samples containing 4 different modalities (RGB videos, depth map sequences, 3D skeletal data, infrared videos) of data for each sample.
National Science Library and Resource Centre (NSLRC) (Sinhala: ජාතික විද්යා පුස්තකාලය හා සම්පත් මධ්යස්ථානය -ශ්රී ලංකාව, jātika vidyā pustakālaya hā sampat madhyasthānaya -śrī laṁkāva) of the National Science Foundation of Sri Lanka is a library, the National Focal Point for the ...
AIMA gives detailed information about the working of algorithms in AI. The book's chapters span from classical AI topics like searching algorithms and first-order logic, propositional logic and probabilistic reasoning to advanced topics such as multi-agent systems, constraint satisfaction problems, optimization problems, artificial neural networks, deep learning, reinforcement learning, and ...
Artificial intelligence (AI), in its broadest sense, is intelligence exhibited by machines, particularly computer systems.It is a field of research in computer science that develops and studies methods and software that enable machines to perceive their environment and use learning and intelligence to take actions that maximize their chances of achieving defined goals. [1]