Artificial Intelligence for Data Science in Theory and Practice

✍ Scribed by Mohamed Alloghani; Christopher Thron; Saad Subair

Publisher: Springer Nature
Year: 2022
Tongue: English
Leaves: 258
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

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