Artificial Intelligence for Data Science in Theory and Practice

Beschreibung

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.

• Presents approaches to artificial intelligence taken by various sectors;
• Includes development-related applications in AI from around the world;
• Discusses AI in government, healthcare, education, tourism in addition to AI ethics.

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.

Autor*in

Mohamed Alloghani

Themen in »Artificial Intelligence for Data Science in Theory and Practice«

Data Mining Machine learning natural language processing image processing bioinformatics Health Informatics Neural networks convolutional neural networks Support Vector Machines Soft Computing

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