Publisher's Synopsis
Artificial intelligence has captured headlines and transformed conversations around the world, but its true essence and historical journey are often unknown or misunderstood. In History of Artificial Intelligence, Sara Robisco, a data scientist specializing in deep learning, offers an accurate and accessible exploration of this revolutionary field of science. Robisco demystifies AI by tracing its evolution from the 1950s to the present day, revealing how many of today's techniques, considered groundbreaking, have deep roots in the history of computer science. From early expert systems to advanced neural networks, each chapter illuminates key aspects, emphasizing their impact on today's world. The book delves into the handling of large volumes of data, explaining in a straightforward manner how it is managed and processed in the era of big data. The author highlights the critical importance of data quality and reveals how biases present in the data can distort algorithmic results. It also explores ethical and security issues, topics that are becoming increasingly urgent in the digital environment. With a combination of technical rigor and expository clarity, Robisco explains complex algorithms such as k-means, dbscan and convolutional neural networks in an understandable way, accompanied by practical examples. The reader will discover real applications of AI in fields as varied as medicine, finance and natural language processing. This book provides the reader with the necessary tools to interpret news about AI, differentiating between real advances and media hype. Whether you are an industry professional, a curious student, or simply a technology enthusiast, this book will give you a deep understanding of AI, its history, and its enormous transformative potential.
