Paperback. 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: Fulsome introductions to MATLAB, Python, AI, machine learning, and deep learningExpansive discussions on supervised and unsupervised machine learning, as well as semi-supervised learningPractical AI and Python cheat sheet quick referencesThis hands-on AI programming guide is perfect for anyone with a basic knowledge of programmingincluding familiarity with variables, arrays, loops, if-else statements, and file input and outputwho seeks to understand foundational concepts in AI and AI development. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Bibliographic Details

Title: Artificial Intelligence Programming with Python (Paperback)
Publisher: John Wiley & Sons Inc, New York
Publication Date: 2022
Language: English
ISBN 10: 1119820863
ISBN 13: 9781119820864
Binding: Paperback
Condition: new

About this title

Synopsis

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:

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 “cheat sheet” quick references

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.

About the Author

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.

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