Description

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.

Artificial Intelligence Programming with Python: From Zero to Hero

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A hands-on roadmap to using Python for artificial intelligence programming In Practical Artificial Intelligence Programming with Python: From Zero to... Read more

    Publisher: John Wiley & Sons Inc
    Publication Date: 02/05/2022
    ISBN13: 9781119820864, 978-1119820864
    ISBN10: 1119820863

    Number of Pages: 720

    Non Fiction , Computing

    Description

    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.

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