A to Z of Deep Learning and AI

This book demystifies deep learning and AI, making complex concepts accessible to all readers. It blends theory with practical guidance, covering neural networks, real-world applications, and ethical considerations. With insights on GANs and reinforcement learning, it empowers to build intelligent systems and drive innovation.

Laith Abualigah is the Director of the Department of International Relations and Affairs and an Associate Professor at the Computer Science Department at Al Al-Bayt University, Jordan. He received a PhD from the School of Computer Science at Universiti Sains Malaysia, Malaysia, in 2018. According to the report published by Clarivate, he is one of the Highly Cited Researchers for 2021-2024 and the 1% Influential Researcher by the Web of Science. He is also 2% top scientists in the world (Stanford University). He has published more than 650 journal papers and books, which collectively have been cited more than 27000 times (H-index = 73). His main research interests are Artificial Intelligence, Meta-heuristic Modeling, and Optimization Algorithms, Evolutionary Computations, Information Retrieval, Text clustering, Feature Selection, Combinatorial Problems, Optimization, Advanced Machine Learning, Big data, and Natural Language Processing. He currently serves as an associate editor of many prestigious journals.