Fr. 22.90

Artificial Intelligence for Developers in easy steps

English · Paperback / Softback

Will be released 31.07.2024

Description

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Contains Artificial Intelligence (AI) projects suitable for anyone who wants to get started with AI programming.

List of contents











  1. Introducing artificial intelligence

  2. Creating a chatbot

  3. Expert systems

  4. The flatworld

  5. Fuzzy logic

  6. Subsumption architecture

  7. Genetic algorithms

  8. Neural networks

  9. Pretrained neural networks

  10. Generative artificial intelligence

  11. Low code




About the author










Richard Urwin has been a software engineer all his working life, specialising in embedded control systems. He enjoys roleplaying games, science-fiction and hill-walking, although these days he wishes the hills were flatter. He wrote his first Artificial Intelligence program in 1975 and has retained an interest in the field ever since.


Summary

Artificial Intelligence for Developers in easy steps is for anyone who wants to learn more about Artificial Intelligence (AI) and build AI applications using basic programming and No-Code AI tools. It has an easy-to-follow style that will be suited to anyone who wants to get started with AI programming. It is aimed at beginners but is also helpful for current and aspiring AI and Machine Learning professionals who are looking to build intelligent AI solutions:

  • Enthusiasts who want to understand and learn more about AI technologies.
  • Web developers wanting to add AI features to their web applications.
  • Programmers wanting to add AI programming to their skillset.
  • Students or those seeking a career in computing.
  • Product details

    Authors Richard Urwin
    Publisher Ingram Publishers Services
     
    Languages English
    Product format Paperback / Softback
    Release 31.07.2024, delayed
     
    EAN 9781787910119
    ISBN 978-1-78791-011-9
    No. of pages 192
    Series In Easy Steps
    Subjects Natural sciences, medicine, IT, technology > IT, data processing > IT

    machine learning, Programming Techniques

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