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An Intuitive Exploration of Artificial Intelligence


Menge:  Stück  
Produktinformationen
cover
cover
Artikel-Nr.:
     5667A-9783030686260
Hersteller:
     Springer Verlag
Herst.-Nr.:
     9783030686260
EAN/GTIN:
     9783030686260
Suchbegriffe:
Allgemeine Informatikbücher
Bücher für Datenbanken - englischsp...
Datenbanken (Fachbücher)
Datenbankenbücher
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.  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.
Weitere Informationen:
Author:
Simant Dube
Verlag:
Springer International Publishing
Sprache:
eng
Weitere Suchbegriffe: allgemeine Informatikbücher - englischsprachig, allgemeine informatikbücher - englischsprachig, Machine Learning; Neural Networks; natural language processing; image classification; Computer vision; reinforcement learning; Ethical AI, Artificial Intelligence, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Image Classification, Computer Vision, Reinforcement Learning, Ethical AI
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