1. Artificial Intelligence for Data Science in Theory and Practice
- Author
-
Mohamed Alloghani, Christopher Thron, Saad Subair, Mohamed Alloghani, Christopher Thron, and Saad Subair
- Subjects
- Telecommunication, Machine learning, Computational intelligence, Artificial intelligence, Quantitative research
- Abstract
This book provides valuable information on effective, state-of-the-art techniques and approaches for governments, students, researchers, practitioners, entrepreneurs and teachers in the field of artificial intelligence (AI). The book explains the data and AI, types and properties of data, the relation between AI algorithms and data, what makes data AI 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.
- Published
- 2022