Artificial Intelligence By Example: Acquire advanced AI, machine learning, and deep learning design skills, 2nd Edition

4.4 out of 5 stars 24 ratings
ISBN-13: 978-1839211539
ISBN-10: 1839211539
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From the Publisher

Editorial Reviews


"This book presents recent and upcoming innovations in artificial intelligence in an approachable and friendly way. The breadth of topics covered in the book is staggering, ranging from traditional methods like reinforcement learning and K-means clustering all the way to neuromorphic and quantum computing. If you want to be exposed to what AI researchers are working on today from a practitioner's perspective, I cannot recommend this book enough."


Trevor Bekolay, Co-founder of Applied Brain Research, Co-author of Neural Modeling of Speech Processing and Speech Learning: An Introduction

"If you want a practical understanding of Artificial Intelligence, I recommend reading Denis Rothman's recent book Artificial Intelligence By Example, Second Edition. He's an excellent writer with practical, real-world experience, capable of teaching a wide range of AI algorithms."


Adrian Rosebrock, Chief PyImageSearcher, PyImageSearch

"There aren't many books - especially in tech - that cross the 500-page mark and keep you as captivated as this one. The second edition of Denis Rothman's Artificial Intelligence By Example is a nice and easily digestible amalgam of the fundamentals of deep learning and intuitive examples that help you learn and use them in the real world. Rothman ends with a series of informative chapters about neuromorphic and quantum computing - a new field that is bound to keep researchers, chip manufacturers, and the overall technology enthusiast glued to what's next in the coming decade."


Tarry Singh, Founder & CEO of,, and Real AI Inc.

About the Author

Denis Rothman graduated from Sorbonne University and Paris-Diderot University, writing one of the very first word2matrix embedding solutions. Denis Rothman is the author of three cutting-edge AI solutions: one of the first AI cognitive chatbots more than 30 years ago; a profit-orientated AI resource optimizing system; and an AI APS (Advanced Planning and Scheduling) solution based on cognitive patterns that is now used worldwide in aerospace, rail, energy, apparel and many other fields. Designed initially as a cognitive bot for IBM, it then went on to become a robust APS solution used to this day.

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Product details

  • Publisher ‏ : ‎ Packt Publishing (February 28, 2020)
  • Language ‏ : ‎ English
  • Paperback ‏ : ‎ 578 pages
  • ISBN-10 ‏ : ‎ 1839211539
  • ISBN-13 ‏ : ‎ 978-1839211539
  • Item Weight ‏ : ‎ 2.07 pounds
  • Dimensions ‏ : ‎ 7.5 x 1.31 x 9.25 inches
  • Customer Reviews:
    4.4 out of 5 stars 24 ratings

About the author

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My core belief is that you only really know something once you have taught somebody how to do it.

I graduated from Sorbonne University and Paris-Diderot University. I wrote and registered a patent for one of the very first word2vector embeddings and word piece tokenization solutions 30+ years ago as a student and started a company to deploy AI. I went full speed from the start to:

- begin my career, authoring one of the first AI cognitive NLP chatbots applied as a language teacher for Mo&euml;t et Chandon and other companies.

-author an AI resource optimizer for IBM and apparel producers.

-author an Advanced Planning and Scheduling (APS) solution used worldwide.

I rapidly became an expert in explainable AI (XAI) from the start to add interpretable mandatory, acceptance-based explanation data and explanation interfaces to the solutions implemented for major corporate aerospace, apparel, and supply chain projects.

As a full-stack AI developer and instructor, I write programs daily, mostly in Python, TensorFlow, PyTorch, C++, and Java. I find it essential to get my hands on code before explaining and implementing it.

If you wish, there is more information on my Linkedin profile:

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