Zum Hauptinhalt springen Zur Suche springen Zur Hauptnavigation springen
Beschreibung
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future.
An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential.
The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word. It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future.
An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content. From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential.
The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI. Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
Über den Autor
Dr. Simant Dube is a Silicon Valley veteran with over two decades of experience in industry. He is currently Head of Machine Vision, Advanced AI, at Varian Medical Systems, Palo Alto where he leads the application of AI in medicine. Prior to his present role, Dr. Dube was Technical Director, Center for Advanced Machine Learning, at Symantec, Mountain View. Trained as a computer engineer, he has worked in medical imaging, cybersecurity, robotics, visual search, web search and biotechnology. In addition to his Silicon Valley experience, Dr. Dube is a former academic and educator and he has supervised students including those at PhD level. He recently taught courses in Deep Learning at New College of Florida, Sarasota, for one year and contributed to the development of an inaugural data science program. Dr. Dube was a visiting faculty member at Indian Institute of Technology, Kanpur and Delhi, as a Ramanujan Fellow. He was a Canada International Fellow at Western University, London,Canada and he taught computer science at the University of New England, Armidale, Australia.
Zusammenfassung

Presents an intuitive and comprehensive view of AI, with emphasis on theory and applications of Deep Learning.

Mathematical notation is simplified and various illustrations are used to convey concepts in an intuitive manner, making this suitable for anyone who wants to learn the fundamentals of AI

Emphasizes both the theoretical and applied sides of AI and therefore will be able to meet different learning needs

Builds a high-level, unifying, insightful, bird's eye view of a plethora of techniques based on deep neural networks and their numerous variations for different applications

Request lecturer material: [...]

Inhaltsverzeichnis
Part I, Foundations.- AI Sculpture.- Make Me Learn.- Images and Sequences.- Why AI Works.- Learning to Sculpt.- Unleashing the Power of Generation.- The Road Most Rewarded.- The Classical World.- Part II, Applications.- To See is to Believe.- Read, Read, Read.- Lend Me Your Ear.- Create Your Shire and Rivendell.- Math to Code to Petaflops.- AI and Business.- Part III, Road Ahead.- Keep Marching on.- Benevolent AI for All.- Am I Looking at Myself?.- App. A, Solutions.- Further Reading.- Acronyms.- Glossary.- References.- Index.
Details
Erscheinungsjahr: 2022
Genre: Informatik, Mathematik, Medizin, Naturwissenschaften, Technik
Rubrik: Naturwissenschaften & Technik
Medium: Taschenbuch
Inhalt: xxii
352 S.
4 s/w Illustr.
72 farbige Illustr.
352 p. 76 illus.
72 illus. in color.
ISBN-13: 9783030686260
ISBN-10: 3030686264
Sprache: Englisch
Einband: Kartoniert / Broschiert
Autor: Dube, Simant
Auflage: 1st edition 2021
Hersteller: Springer Nature Switzerland
Springer International Publishing
Verantwortliche Person für die EU: Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com
Maße: 235 x 155 x 21 mm
Von/Mit: Simant Dube
Erscheinungsdatum: 23.06.2022
Gewicht: 0,569 kg
Artikel-ID: 121952697

Ähnliche Produkte