Artificial Intelligence for Data Science in Theory and Practice
Author | : Mohamed Alloghani |
Publisher | : Springer Nature |
Total Pages | : 258 |
Release | : 2022-04-05 |
ISBN-10 | : 9783030922450 |
ISBN-13 | : 3030922456 |
Rating | : 4/5 (50 Downloads) |
Download or read book Artificial Intelligence for Data Science in Theory and Practice written by Mohamed Alloghani and published by Springer Nature. This book was released on 2022-04-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.