A hands-on roadmap to using Python for artificial intelligence programming
In Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples.
Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes:
This hands-on AI programming guide is perfect for anyone with a basic knowledge of programming--including familiarity with variables, arrays, loops, if-else statements, and file input and output--who seeks to understand foundational concepts in AI and AI development.
Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.
PERRY XIAO, PhD, is Professor and Course Director of London South Bank University. He holds his doctorate in photophysics and is Director and co-Founder of Biox Systems Ltd., a university spin-out company that designs and manufactures the AquaFlux and Epsilon Permittivity Imaging system.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
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Soft cover. Etat : As New. A hands-on roadmap to using Python for artificial intelligence programmingIn Practical Artificial Intelligence Programming with Python: From Zero to Hero, veteran educator and photophysicist Dr. Perry Xiao delivers a thorough introduction to one of the most exciting areas of computer science in modern history. The book demystifies artificial intelligence and teaches readers its fundamentals from scratch in simple and plain language and with illustrative code examples.Divided into three parts, the author explains artificial intelligence generally, machine learning, and deep learning. It tackles a wide variety of useful topics, from classification and regression in machine learning to generative adversarial networks. He also includes: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learning Expansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learning Practical AI and Python Òcheat sheetÓ quick referencesThis hands-on AI programming guide is perfect for anyone with a basic knowledge of programming_including familiarity with variables, arrays, loops, if-else statements, and file input and output_who seeks to understand foundational concepts in AI and AI development. N° de réf. du vendeur 25-6-19.1-9781119820864-ABE-GAMMA-1
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