About |
This book provides valuable information on effective, cutting-edge techniques, and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of Artificial Intelligence. The book will explain the data and AI, types and properties of data, the relation between A.I. algorithms and data, what makes data A.I. ready, steps of data pre-processing, data quality, data storage and data platforms. Therefore, this book will be interested by AI practitioners, academics, researchers, and lecturers in computer science, artificial intelligence, machine learning and data sciences. |
Call for Papers |
A partial list of relevant topics is as follows:
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Credits and Sources |
[1] EAIADS 2020 : Empowering Artificial Intelligence in Data Science |