دانلود کتاب از الف تا ی یادگیری عمیق و هوش مصنوعی

After decades of being an academic interest, Artificial Intelligence (AI) and Deep Learning (DL) have, in recent times, emerged as two AI pillars of innovation across industries like healthcare, finance, education, and even autonomous systems. These technologies are transforming traditional systems to redefining the future for the better. The reasons growing adoption of AI technologies and deep learning underscore the concepts encapsulated be defined around AI, methodologies, and their real-life implementations. A to Z of Deep Learning and AI is an attempted response to comprehensive gaps being observed among practitioners and students which provides definition, explanation, and perspectives with insights on topics that covers the whole spectrum starting from principles and going towards the most recent trends, including transfer and reinforcement learning, the ethics, and the overlaps of AI with quantum computing and IoT. Every single chapter of this unfinished work tries to use an integrative approach of theories and practical based on real-world problems through insightful case studies, which will make readers understand complex ideas with ease. One of the greatest strengths of this volume is that a diverse group of international professionals has written it. These individuals possess different educational and occupational experiences, thereby ensuring that the book provides a comprehensive account of the challenges and advancements of AI and DL from a global standpoint. Hence, the work is not only authoritative but also provides an all-encompassing account that captures the essence of the field in question. The foremost goal of this book is to educate, but at the same time, it aspires to foster interest among the upcoming AI engineers and researchers. Be it the very first steps in AI or the intent to broaden one’s expertise, this book aims to guide what is perhaps the most revolutionary technology of contemporary times. We desire that this book equips you with the necessary skills and knowledge to challenge the status quo and meaningfully contribute to the future of intelligent systems.